Model Selection and Multimodel Inference Based on (Q)AIC(c)
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘AICcmodavg’ version 2.3-3
Help Pages
A B C D E F G I L M N P R S T U X
| AICcmodavg-package | Model Selection and Multimodel Inference Based on (Q)AIC(c) |
-- A --
| AICc | Computing AIC, AICc, QAIC, and QAICc |
| AICc.aov | Computing AIC, AICc, QAIC, and QAICc |
| AICc.betareg | Computing AIC, AICc, QAIC, and QAICc |
| AICc.clm | Computing AIC, AICc, QAIC, and QAICc |
| AICc.clmm | Computing AIC, AICc, QAIC, and QAICc |
| AICc.coxme | Computing AIC, AICc, QAIC, and QAICc |
| AICc.coxph | Computing AIC, AICc, QAIC, and QAICc |
| AICc.default | Computing AIC, AICc, QAIC, and QAICc |
| AICc.fitdist | Computing AIC, AICc, QAIC, and QAICc |
| AICc.fitdistr | Computing AIC, AICc, QAIC, and QAICc |
| AICc.glm | Computing AIC, AICc, QAIC, and QAICc |
| AICc.glmmTMB | Computing AIC, AICc, QAIC, and QAICc |
| AICc.gls | Computing AIC, AICc, QAIC, and QAICc |
| AICc.gnls | Computing AIC, AICc, QAIC, and QAICc |
| AICc.hurdle | Computing AIC, AICc, QAIC, and QAICc |
| AICc.lavaan | Computing AIC, AICc, QAIC, and QAICc |
| AICc.lm | Computing AIC, AICc, QAIC, and QAICc |
| AICc.lme | Computing AIC, AICc, QAIC, and QAICc |
| AICc.lmekin | Computing AIC, AICc, QAIC, and QAICc |
| AICc.lmerModLmerTest | Computing AIC, AICc, QAIC, and QAICc |
| AICc.maxlikeFit | Computing AIC, AICc, QAIC, and QAICc |
| AICc.mer | Computing AIC, AICc, QAIC, and QAICc |
| AICc.merMod | Computing AIC, AICc, QAIC, and QAICc |
| AICc.mult | Defunct Functions in AICcmodavg Package |
| AICc.multinom | Computing AIC, AICc, QAIC, and QAICc |
| AICc.negbin | Computing AIC, AICc, QAIC, and QAICc |
| AICc.nlme | Computing AIC, AICc, QAIC, and QAICc |
| AICc.nls | Computing AIC, AICc, QAIC, and QAICc |
| AICc.polr | Computing AIC, AICc, QAIC, and QAICc |
| AICc.rlm | Computing AIC, AICc, QAIC, and QAICc |
| AICc.survreg | Computing AIC, AICc, QAIC, and QAICc |
| AICc.unmarked | Defunct Functions in AICcmodavg Package |
| AICc.unmarkedFit | Computing AIC, AICc, QAIC, and QAICc |
| AICc.vglm | Computing AIC, AICc, QAIC, and QAICc |
| AICc.zeroinfl | Computing AIC, AICc, QAIC, and QAICc |
| AICcCustom | Compute AIC, AICc, QAIC, and QAICc from User-supplied Input |
| AICcmodavg | Model Selection and Multimodel Inference Based on (Q)AIC(c) |
| AICcmodavg-defunct | Defunct Functions in AICcmodavg Package |
| aictab | Create Model Selection Tables |
| aictab.AICaov.lm | Create Model Selection Tables |
| aictab.AICbetareg | Create Model Selection Tables |
| aictab.AICclm | Create Model Selection Tables |
| aictab.AICclmm | Create Model Selection Tables |
| aictab.AICcoxme | Create Model Selection Tables |
| aictab.AICcoxph | Create Model Selection Tables |
| aictab.AICfitdist | Create Model Selection Tables |
| aictab.AICfitdistr | Create Model Selection Tables |
| aictab.AICglm.lm | Create Model Selection Tables |
| aictab.AICglmerMod | Create Model Selection Tables |
| aictab.AICglmmTMB | Create Model Selection Tables |
| aictab.AICgls | Create Model Selection Tables |
| aictab.AICgnls.gls | Create Model Selection Tables |
| aictab.AIChurdle | Create Model Selection Tables |
| aictab.AIClavaan | Create Model Selection Tables |
| aictab.AIClm | Create Model Selection Tables |
| aictab.AIClme | Create Model Selection Tables |
| aictab.AIClmekin | Create Model Selection Tables |
| aictab.AIClmerMod | Create Model Selection Tables |
| aictab.AIClmerModLmerTest | Create Model Selection Tables |
| aictab.AICmaxlikeFit.list | Create Model Selection Tables |
| aictab.AICmer | Create Model Selection Tables |
| aictab.AICmultinom.nnet | Create Model Selection Tables |
| aictab.AICnegbin.glm.lm | Create Model Selection Tables |
| aictab.AICnlme.lme | Create Model Selection Tables |
| aictab.AICnlmerMod | Create Model Selection Tables |
| aictab.AICnls | Create Model Selection Tables |
| aictab.AICpolr | Create Model Selection Tables |
| aictab.AICrlm.lm | Create Model Selection Tables |
| aictab.AICsclm.clm | Create Model Selection Tables |
| aictab.AICsurvreg | Create Model Selection Tables |
| aictab.AICunmarkedFitColExt | Create Model Selection Tables |
| aictab.AICunmarkedFitDS | Create Model Selection Tables |
| aictab.AICunmarkedFitDSO | Create Model Selection Tables |
| aictab.AICunmarkedFitGDS | Create Model Selection Tables |
| aictab.AICunmarkedFitGMM | Create Model Selection Tables |
| aictab.AICunmarkedFitGPC | Create Model Selection Tables |
| aictab.AICunmarkedFitMMO | Create Model Selection Tables |
| aictab.AICunmarkedFitMPois | Create Model Selection Tables |
| aictab.AICunmarkedFitOccu | Create Model Selection Tables |
| aictab.AICunmarkedFitOccuFP | Create Model Selection Tables |
| aictab.AICunmarkedFitOccuMS | Create Model Selection Tables |
| aictab.AICunmarkedFitOccuMulti | Create Model Selection Tables |
| aictab.AICunmarkedFitOccuRN | Create Model Selection Tables |
| aictab.AICunmarkedFitOccuTTD | Create Model Selection Tables |
| aictab.AICunmarkedFitPCO | Create Model Selection Tables |
| aictab.AICunmarkedFitPCount | Create Model Selection Tables |
| aictab.AICvglm | Create Model Selection Tables |
| aictab.AICzeroinfl | Create Model Selection Tables |
| aictab.clm | Defunct Functions in AICcmodavg Package |
| aictab.clmm | Defunct Functions in AICcmodavg Package |
| aictab.coxph | Defunct Functions in AICcmodavg Package |
| aictab.default | Create Model Selection Tables |
| aictab.glm | Defunct Functions in AICcmodavg Package |
| aictab.gls | Defunct Functions in AICcmodavg Package |
| aictab.lm | Defunct Functions in AICcmodavg Package |
| aictab.lme | Defunct Functions in AICcmodavg Package |
| aictab.mer | Defunct Functions in AICcmodavg Package |
| aictab.merMod | Defunct Functions in AICcmodavg Package |
| aictab.mult | Defunct Functions in AICcmodavg Package |
| aictab.nlme | Defunct Functions in AICcmodavg Package |
| aictab.nls | Defunct Functions in AICcmodavg Package |
| aictab.polr | Defunct Functions in AICcmodavg Package |
| aictab.rlm | Defunct Functions in AICcmodavg Package |
| aictab.unmarked | Defunct Functions in AICcmodavg Package |
| aictabCustom | Create Model Selection Tables from User-supplied Input Based on (Q)AIC(c) |
| anovaOD | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.glm | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.glmerMod | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.maxlikeFit | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.multinom | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitColExt | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitDS | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitDSO | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitGDS | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitGMM | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitGPC | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitMMO | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitMPois | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitOccu | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitOccuFP | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitOccuMS | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitOccuMulti | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitOccuRN | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitOccuTTD | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitPCO | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.unmarkedFitPCount | Likelihood-Ratio Test Corrected for Overdispersion |
| anovaOD.vglm | Likelihood-Ratio Test Corrected for Overdispersion |
-- B --
| beetle | Flour Beetle Data |
| bictab | Create Model Selection Tables Based on BIC |
| bictab.AICaov.lm | Create Model Selection Tables Based on BIC |
| bictab.AICbetareg | Create Model Selection Tables Based on BIC |
| bictab.AICclm | Create Model Selection Tables Based on BIC |
| bictab.AICclmm | Create Model Selection Tables Based on BIC |
| bictab.AICcoxme | Create Model Selection Tables Based on BIC |
| bictab.AICcoxph | Create Model Selection Tables Based on BIC |
| bictab.AICfitdist | Create Model Selection Tables Based on BIC |
| bictab.AICfitdistr | Create Model Selection Tables Based on BIC |
| bictab.AICglm.lm | Create Model Selection Tables Based on BIC |
| bictab.AICglmerMod | Create Model Selection Tables Based on BIC |
| bictab.AICglmmTMB | Create Model Selection Tables Based on BIC |
| bictab.AICgls | Create Model Selection Tables Based on BIC |
| bictab.AICgnls.gls | Create Model Selection Tables Based on BIC |
| bictab.AIChurdle | Create Model Selection Tables Based on BIC |
| bictab.AIClavaan | Create Model Selection Tables Based on BIC |
| bictab.AIClm | Create Model Selection Tables Based on BIC |
| bictab.AIClme | Create Model Selection Tables Based on BIC |
| bictab.AIClmekin | Create Model Selection Tables Based on BIC |
| bictab.AIClmerMod | Create Model Selection Tables Based on BIC |
| bictab.AIClmerModLmerTest | Create Model Selection Tables Based on BIC |
| bictab.AICmaxlikeFit.list | Create Model Selection Tables Based on BIC |
| bictab.AICmer | Create Model Selection Tables Based on BIC |
| bictab.AICmultinom.nnet | Create Model Selection Tables Based on BIC |
| bictab.AICnlme.lme | Create Model Selection Tables Based on BIC |
| bictab.AICnlmerMod | Create Model Selection Tables Based on BIC |
| bictab.AICnls | Create Model Selection Tables Based on BIC |
| bictab.AICpolr | Create Model Selection Tables Based on BIC |
| bictab.AICrlm.lm | Create Model Selection Tables Based on BIC |
| bictab.AICsclm.clm | Create Model Selection Tables Based on BIC |
| bictab.AICsurvreg | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitColExt | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitDS | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitDSO | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitGDS | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitGMM | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitGPC | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitMMO | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitMPois | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitOccu | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitOccuFP | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitOccuMS | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitOccuMulti | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitOccuRN | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitOccuTTD | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitPCO | Create Model Selection Tables Based on BIC |
| bictab.AICunmarkedFitPCount | Create Model Selection Tables Based on BIC |
| bictab.AICvglm | Create Model Selection Tables Based on BIC |
| bictab.AICzeroinfl | Create Model Selection Tables Based on BIC |
| bictab.default | Create Model Selection Tables Based on BIC |
| bictabCustom | Create Model Selection Tables from User-supplied Input Based on (Q)BIC |
| boot.wt | Compute Model Selection Relative Frequencies |
| boot.wt.AICaov.lm | Compute Model Selection Relative Frequencies |
| boot.wt.AICbetareg | Compute Model Selection Relative Frequencies |
| boot.wt.AICglm.lm | Compute Model Selection Relative Frequencies |
| boot.wt.AIChurdle | Compute Model Selection Relative Frequencies |
| boot.wt.AIClm | Compute Model Selection Relative Frequencies |
| boot.wt.AICmultinom.nnet | Compute Model Selection Relative Frequencies |
| boot.wt.AICpolr | Compute Model Selection Relative Frequencies |
| boot.wt.AICrlm.lm | Compute Model Selection Relative Frequencies |
| boot.wt.AICsclm.clm | Compute Model Selection Relative Frequencies |
| boot.wt.AICsurvreg | Compute Model Selection Relative Frequencies |
| boot.wt.AICvglm | Compute Model Selection Relative Frequencies |
| boot.wt.AICzeroinfl | Compute Model Selection Relative Frequencies |
| boot.wt.default | Compute Model Selection Relative Frequencies |
| bullfrog | Bullfrog Occupancy and Common Reed Invasion |
-- C --
| calcium | Blood Calcium Concentration in Birds |
| cement | Heat Expended Following Hardening of Portland Cement |
| checkConv | Check Convergence of Fitted Model |
| checkConv.betareg | Check Convergence of Fitted Model |
| checkConv.clm | Check Convergence of Fitted Model |
| checkConv.clmm | Check Convergence of Fitted Model |
| checkConv.default | Check Convergence of Fitted Model |
| checkConv.glm | Check Convergence of Fitted Model |
| checkConv.glmmTMB | Check Convergence of Fitted Model |
| checkConv.hurdle | Check Convergence of Fitted Model |
| checkConv.lavaan | Check Convergence of Fitted Model |
| checkConv.lmerModLmerTest | Check Convergence of Fitted Model |
| checkConv.maxlikeFit | Check Convergence of Fitted Model |
| checkConv.merMod | Check Convergence of Fitted Model |
| checkConv.multinom | Check Convergence of Fitted Model |
| checkConv.nls | Check Convergence of Fitted Model |
| checkConv.polr | Check Convergence of Fitted Model |
| checkConv.unmarkedFit | Check Convergence of Fitted Model |
| checkConv.zeroinfl | Check Convergence of Fitted Model |
| checkParms | Identify Parameters with Large Standard Errors |
| checkParms.betareg | Identify Parameters with Large Standard Errors |
| checkParms.clm | Identify Parameters with Large Standard Errors |
| checkParms.clmm | Identify Parameters with Large Standard Errors |
| checkParms.coxme | Identify Parameters with Large Standard Errors |
| checkParms.coxph | Identify Parameters with Large Standard Errors |
| checkParms.default | Identify Parameters with Large Standard Errors |
| checkParms.glm | Identify Parameters with Large Standard Errors |
| checkParms.glmmTMB | Identify Parameters with Large Standard Errors |
| checkParms.gls | Identify Parameters with Large Standard Errors |
| checkParms.gnls | Identify Parameters with Large Standard Errors |
| checkParms.hurdle | Identify Parameters with Large Standard Errors |
| checkParms.lm | Identify Parameters with Large Standard Errors |
| checkParms.lme | Identify Parameters with Large Standard Errors |
| checkParms.lmekin | Identify Parameters with Large Standard Errors |
| checkParms.lmerModLmerTest | Identify Parameters with Large Standard Errors |
| checkParms.maxlikeFit | Identify Parameters with Large Standard Errors |
| checkParms.merMod | Identify Parameters with Large Standard Errors |
| checkParms.multinom | Identify Parameters with Large Standard Errors |
| checkParms.nlme | Identify Parameters with Large Standard Errors |
| checkParms.nls | Identify Parameters with Large Standard Errors |
| checkParms.polr | Identify Parameters with Large Standard Errors |
| checkParms.rlm | Identify Parameters with Large Standard Errors |
| checkParms.survreg | Identify Parameters with Large Standard Errors |
| checkParms.unmarkedFit | Identify Parameters with Large Standard Errors |
| checkParms.vglm | Identify Parameters with Large Standard Errors |
| checkParms.zeroinfl | Identify Parameters with Large Standard Errors |
| confset | Computing Confidence Set for the Kullback-Leibler Best Model |
| countDist | Compute Summary Statistics from Distance Sampling Data |
| countDist.default | Compute Summary Statistics from Distance Sampling Data |
| countDist.unmarkedFitDS | Compute Summary Statistics from Distance Sampling Data |
| countDist.unmarkedFitDSO | Compute Summary Statistics from Distance Sampling Data |
| countDist.unmarkedFitGDS | Compute Summary Statistics from Distance Sampling Data |
| countDist.unmarkedFrameDS | Compute Summary Statistics from Distance Sampling Data |
| countDist.unmarkedFrameDSO | Compute Summary Statistics from Distance Sampling Data |
| countDist.unmarkedFrameGDS | Compute Summary Statistics from Distance Sampling Data |
| countHist | Compute Summary Statistics from Count Histories |
| countHist.default | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFitGMM | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFitGPC | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFitMMO | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFitMPois | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFitPCO | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFitPCount | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFrameGMM | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFrameGPC | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFrameMMO | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFrameMPois | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFramePCO | Compute Summary Statistics from Count Histories |
| countHist.unmarkedFramePCount | Compute Summary Statistics from Count Histories |
| covDiag | Compute Covariance Diagnostic for Lambda in _N_-mixture Models |
| covDiag.default | Compute Covariance Diagnostic for Lambda in _N_-mixture Models |
| covDiag.unmarkedFitPCount | Compute Covariance Diagnostic for Lambda in _N_-mixture Models |
| covDiag.unmarkedFramePCount | Compute Covariance Diagnostic for Lambda in _N_-mixture Models |
| c_hat | Estimate Dispersion for Poisson and Binomial GLM's and GLMM's |
| c_hat.default | Estimate Dispersion for Poisson and Binomial GLM's and GLMM's |
| c_hat.glm | Estimate Dispersion for Poisson and Binomial GLM's and GLMM's |
| c_hat.glmmTMB | Estimate Dispersion for Poisson and Binomial GLM's and GLMM's |
| c_hat.merMod | Estimate Dispersion for Poisson and Binomial GLM's and GLMM's |
| c_hat.vglm | Estimate Dispersion for Poisson and Binomial GLM's and GLMM's |
-- D --
| detHist | Compute Summary Statistics from Detection Histories |
| detHist.default | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedFitColExt | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedFitOccu | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedFitOccuFP | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedFitOccuMS | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedFitOccuMulti | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedFitOccuRN | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedFrameOccu | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedFrameOccuFP | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedFrameOccuMS | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedFrameOccuMulti | Compute Summary Statistics from Detection Histories |
| detHist.unmarkedMultFrame | Compute Summary Statistics from Detection Histories |
| detTime | Compute Summary Statistics from Time to Detection Data |
| detTime.default | Compute Summary Statistics from Time to Detection Data |
| detTime.unmarkedFitOccuTTD | Compute Summary Statistics from Time to Detection Data |
| detTime.unmarkedFrameOccuTTD | Compute Summary Statistics from Time to Detection Data |
| DIC | Computing DIC |
| DIC.bugs | Computing DIC |
| DIC.default | Computing DIC |
| DIC.jagsUI | Computing DIC |
| DIC.rjags | Computing DIC |
| dictab | Create Model Selection Tables from Bayesian Analyses |
| dictab.AICbugs | Create Model Selection Tables from Bayesian Analyses |
| dictab.AICjagsUI | Create Model Selection Tables from Bayesian Analyses |
| dictab.AICrjags | Create Model Selection Tables from Bayesian Analyses |
| dictab.bugs | Defunct Functions in AICcmodavg Package |
| dictab.default | Create Model Selection Tables from Bayesian Analyses |
| dictab.rjags | Defunct Functions in AICcmodavg Package |
| dry.frog | Frog Dehydration Experiment on Three Substrate Types |
-- E --
| evidence | Compute Evidence Ratio Between Two Models |
| extract.LL | Defunct Functions in AICcmodavg Package |
| extract.LL.coxph | Defunct Functions in AICcmodavg Package |
| extract.LL.unmarked | Defunct Functions in AICcmodavg Package |
| extractCN | Compute Condition Number |
| extractCN.default | Compute Condition Number |
| extractCN.unmarkedFit | Compute Condition Number |
| extractLL | Extract Log-Likelihood of Model |
| extractLL.coxme | Extract Log-Likelihood of Model |
| extractLL.coxph | Extract Log-Likelihood of Model |
| extractLL.default | Extract Log-Likelihood of Model |
| extractLL.lmekin | Extract Log-Likelihood of Model |
| extractLL.maxlikeFit | Extract Log-Likelihood of Model |
| extractLL.unmarkedFit | Extract Log-Likelihood of Model |
| extractLL.vglm | Extract Log-Likelihood of Model |
| extractSE | Extract SE of Fixed Effects |
| extractSE.coxme | Extract SE of Fixed Effects |
| extractSE.default | Extract SE of Fixed Effects |
| extractSE.lmekin | Extract SE of Fixed Effects |
| extractSE.lmerModLmerTest | Extract SE of Fixed Effects |
| extractSE.mer | Extract SE of Fixed Effects |
| extractSE.merMod | Extract SE of Fixed Effects |
| extractX | Extract Predictors from Candidate Model List |
| extractX.AICaov.lm | Extract Predictors from Candidate Model List |
| extractX.AICglm.lm | Extract Predictors from Candidate Model List |
| extractX.AICglmerMod | Extract Predictors from Candidate Model List |
| extractX.AICglmmTMB | Extract Predictors from Candidate Model List |
| extractX.AICgls | Extract Predictors from Candidate Model List |
| extractX.AIClm | Extract Predictors from Candidate Model List |
| extractX.AIClme | Extract Predictors from Candidate Model List |
| extractX.AIClmerMod | Extract Predictors from Candidate Model List |
| extractX.AIClmerModLmerTest | Extract Predictors from Candidate Model List |
| extractX.AICrlm.lm | Extract Predictors from Candidate Model List |
| extractX.AICsurvreg | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitColExt | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitDS | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitDSO | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitGDS | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitGMM | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitGPC | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitMMO | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitMPois | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitOccu | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitOccuFP | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitOccuMS | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitOccuMulti | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitOccuRN | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitOccuTTD | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitPCO | Extract Predictors from Candidate Model List |
| extractX.AICunmarkedFitPCount | Extract Predictors from Candidate Model List |
| extractX.default | Extract Predictors from Candidate Model List |
-- F --
| fam.link.mer | Extract Distribution Family and Link Function |
| fat | Fat Data and Body Measurements |
| formatCands | Various Utility Functions |
| formulaShort | Various Utility Functions |
-- G --
| gpa | GPA Data and Standardized Test Scores |
-- I --
| ictab | Create Model Selection Tables from User-supplied Information Criterion |
| importance | Compute Importance Values of Variable |
| importance.AICaov.lm | Compute Importance Values of Variable |
| importance.AICbetareg | Compute Importance Values of Variable |
| importance.AICclm | Compute Importance Values of Variable |
| importance.AICclmm | Compute Importance Values of Variable |
| importance.AICclogit.coxph | Compute Importance Values of Variable |
| importance.AICcoxme | Compute Importance Values of Variable |
| importance.AICcoxph | Compute Importance Values of Variable |
| importance.AICglm.lm | Compute Importance Values of Variable |
| importance.AICglmerMod | Compute Importance Values of Variable |
| importance.AICglmmTMB | Compute Importance Values of Variable |
| importance.AICgls | Compute Importance Values of Variable |
| importance.AIChurdle | Compute Importance Values of Variable |
| importance.AIClm | Compute Importance Values of Variable |
| importance.AIClme | Compute Importance Values of Variable |
| importance.AIClmekin | Compute Importance Values of Variable |
| importance.AIClmerModLmerTest | Compute Importance Values of Variable |
| importance.AICmaxlikeFit.list | Compute Importance Values of Variable |
| importance.AICmer | Compute Importance Values of Variable |
| importance.AICmultinom.nnet | Compute Importance Values of Variable |
| importance.AICnegbin.glm.lm | Compute Importance Values of Variable |
| importance.AICnlmerMod | Compute Importance Values of Variable |
| importance.AICpolr | Compute Importance Values of Variable |
| importance.AICrlm.lm | Compute Importance Values of Variable |
| importance.AICsclm.clm | Compute Importance Values of Variable |
| importance.AICsurvreg | Compute Importance Values of Variable |
| importance.AICunmarkedFitColExt | Compute Importance Values of Variable |
| importance.AICunmarkedFitDS | Compute Importance Values of Variable |
| importance.AICunmarkedFitDSO | Compute Importance Values of Variable |
| importance.AICunmarkedFitGDS | Compute Importance Values of Variable |
| importance.AICunmarkedFitGMM | Compute Importance Values of Variable |
| importance.AICunmarkedFitGPC | Compute Importance Values of Variable |
| importance.AICunmarkedFitMMO | Compute Importance Values of Variable |
| importance.AICunmarkedFitMPois | Compute Importance Values of Variable |
| importance.AICunmarkedFitOccu | Compute Importance Values of Variable |
| importance.AICunmarkedFitOccuFP | Compute Importance Values of Variable |
| importance.AICunmarkedFitOccuMS | Compute Importance Values of Variable |
| importance.AICunmarkedFitOccuMulti | Compute Importance Values of Variable |
| importance.AICunmarkedFitOccuRN | Compute Importance Values of Variable |
| importance.AICunmarkedFitOccuTTD | Compute Importance Values of Variable |
| importance.AICunmarkedFitPCO | Compute Importance Values of Variable |
| importance.AICunmarkedFitPCount | Compute Importance Values of Variable |
| importance.AICvglm | Compute Importance Values of Variable |
| importance.AICzeroinfl | Compute Importance Values of Variable |
| importance.default | Compute Importance Values of Variable |
| iron | Iron Content in Food |
-- L --
| lizards | Habitat Preference of Lizards |
-- M --
| mb.chisq | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| mb.chisq.default | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| mb.chisq.unmarkedFitColExt | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| mb.chisq.unmarkedFitOccu | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| mb.chisq.unmarkedFitOccuRN | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| mb.gof.test | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| mb.gof.test.default | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| mb.gof.test.unmarkedFitColExt | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| mb.gof.test.unmarkedFitOccu | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| mb.gof.test.unmarkedFitOccuRN | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| min.trap | Anuran Larvae Counts in Minnow Traps Across Pond Type |
| modavg | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICaov.lm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICbetareg | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICclm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICclmm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICcoxme | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICcoxph | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICglm.lm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICglmerMod | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICglmmTMB | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICgls | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AIChurdle | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AIClm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AIClme | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AIClmekin | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AIClmerMod | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AIClmerModLmerTest | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICmaxlikeFit.list | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICmer | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICmultinom.nnet | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICnegbin.glm.lm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICpolr | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICrlm.lm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICsclm.clm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICsurvreg | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitColExt | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitDS | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitDSO | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitGDS | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitGMM | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitGPC | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitMMO | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitMPois | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitOccu | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitOccuFP | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitOccuMS | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitOccuMulti | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitOccuRN | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitOccuTTD | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitPCO | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICunmarkedFitPCount | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICvglm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.AICzeroinfl | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.clm | Defunct Functions in AICcmodavg Package |
| modavg.clmm | Defunct Functions in AICcmodavg Package |
| modavg.coxph | Defunct Functions in AICcmodavg Package |
| modavg.default | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.effect | Defunct Functions in AICcmodavg Package |
| modavg.effect.glm | Defunct Functions in AICcmodavg Package |
| modavg.effect.gls | Defunct Functions in AICcmodavg Package |
| modavg.effect.lme | Defunct Functions in AICcmodavg Package |
| modavg.effect.mer | Defunct Functions in AICcmodavg Package |
| modavg.effect.merMod | Defunct Functions in AICcmodavg Package |
| modavg.effect.rlm | Defunct Functions in AICcmodavg Package |
| modavg.effect.unmarked | Defunct Functions in AICcmodavg Package |
| modavg.glm | Defunct Functions in AICcmodavg Package |
| modavg.gls | Defunct Functions in AICcmodavg Package |
| modavg.lme | Defunct Functions in AICcmodavg Package |
| modavg.mer | Defunct Functions in AICcmodavg Package |
| modavg.merMod | Defunct Functions in AICcmodavg Package |
| modavg.mult | Defunct Functions in AICcmodavg Package |
| modavg.polr | Defunct Functions in AICcmodavg Package |
| modavg.rlm | Defunct Functions in AICcmodavg Package |
| modavg.shrink | Defunct Functions in AICcmodavg Package |
| modavg.shrink.clm | Defunct Functions in AICcmodavg Package |
| modavg.shrink.clmm | Defunct Functions in AICcmodavg Package |
| modavg.shrink.coxph | Defunct Functions in AICcmodavg Package |
| modavg.shrink.glm | Defunct Functions in AICcmodavg Package |
| modavg.shrink.gls | Defunct Functions in AICcmodavg Package |
| modavg.shrink.lme | Defunct Functions in AICcmodavg Package |
| modavg.shrink.mer | Defunct Functions in AICcmodavg Package |
| modavg.shrink.merMod | Defunct Functions in AICcmodavg Package |
| modavg.shrink.mult | Defunct Functions in AICcmodavg Package |
| modavg.shrink.polr | Defunct Functions in AICcmodavg Package |
| modavg.shrink.rlm | Defunct Functions in AICcmodavg Package |
| modavg.shrink.unmarked | Defunct Functions in AICcmodavg Package |
| modavg.unmarked | Defunct Functions in AICcmodavg Package |
| modavgCustom | Compute Model-averaged Parameter Estimate from User-supplied Input Based on (Q)AIC(c) |
| modavgEffect | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICaov.lm | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICglm.lm | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICglmerMod | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICgls | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AIClm | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AIClme | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AIClmerMod | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AIClmerModLmerTest | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICmer | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICnegbin.glm.lm | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICrlm.lm | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICsurvreg | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitColExt | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitDS | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitDSO | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitGDS | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitGMM | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitGPC | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitMMO | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitMPois | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitOccu | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitOccuFP | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitOccuMS | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitOccuMulti | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitOccuRN | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitOccuTTD | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitPCO | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.AICunmarkedFitPCount | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgEffect.default | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavgIC | Compute Model-averaged Parameter Estimate from User-supplied Information Criterion |
| modavgPred | Compute Model-averaged Predictions |
| modavgpred | Defunct Functions in AICcmodavg Package |
| modavgPred.AICaov.lm | Compute Model-averaged Predictions |
| modavgPred.AICglm.lm | Compute Model-averaged Predictions |
| modavgPred.AICglmerMod | Compute Model-averaged Predictions |
| modavgPred.AICgls | Compute Model-averaged Predictions |
| modavgPred.AIClm | Compute Model-averaged Predictions |
| modavgPred.AIClme | Compute Model-averaged Predictions |
| modavgPred.AIClmerMod | Compute Model-averaged Predictions |
| modavgPred.AIClmerModLmerTest | Compute Model-averaged Predictions |
| modavgPred.AICmer | Compute Model-averaged Predictions |
| modavgPred.AICnegbin.glm.lm | Compute Model-averaged Predictions |
| modavgPred.AICrlm.lm | Compute Model-averaged Predictions |
| modavgPred.AICsurvreg | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitColExt | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitDS | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitDSO | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitGDS | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitGMM | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitGPC | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitMMO | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitMPois | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitOccu | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitOccuFP | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitOccuMS | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitOccuMulti | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitOccuRN | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitOccuTTD | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitPCO | Compute Model-averaged Predictions |
| modavgPred.AICunmarkedFitPCount | Compute Model-averaged Predictions |
| modavgPred.default | Compute Model-averaged Predictions |
| modavgpred.glm | Defunct Functions in AICcmodavg Package |
| modavgpred.gls | Defunct Functions in AICcmodavg Package |
| modavgpred.lme | Defunct Functions in AICcmodavg Package |
| modavgpred.mer | Defunct Functions in AICcmodavg Package |
| modavgpred.merMod | Defunct Functions in AICcmodavg Package |
| modavgpred.rlm | Defunct Functions in AICcmodavg Package |
| modavgpred.unmarked | Defunct Functions in AICcmodavg Package |
| modavgShrink | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICaov.lm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICbetareg | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICclm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICclmm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICcoxme | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICcoxph | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICglm.lm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICglmerMod | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICglmmTMB | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICgls | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AIChurdle | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AIClm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AIClme | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AIClmekin | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AIClmerMod | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AIClmerModLmerTest | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICmaxlikeFit.list | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICmer | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICmultinom.nnet | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICnegbin.glm.lm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICpolr | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICrlm.lm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICsclm.clm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICsurvreg | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitColExt | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitDS | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitDSO | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitGDS | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitGMM | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitGPC | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitMMO | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitMPois | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitOccu | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitOccuFP | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitOccuMS | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitOccuMulti | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitOccuRN | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitOccuTTD | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitPCO | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICunmarkedFitPCount | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICvglm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.AICzeroinfl | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavgShrink.default | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| mult.comp | Defunct Functions in AICcmodavg Package |
| multComp | Create Model Selection Tables based on Multiple Comparisons |
| multComp.aov | Create Model Selection Tables based on Multiple Comparisons |
| multComp.default | Create Model Selection Tables based on Multiple Comparisons |
| multComp.glm | Create Model Selection Tables based on Multiple Comparisons |
| multComp.gls | Create Model Selection Tables based on Multiple Comparisons |
| multComp.lm | Create Model Selection Tables based on Multiple Comparisons |
| multComp.lme | Create Model Selection Tables based on Multiple Comparisons |
| multComp.lmerModLmerTest | Create Model Selection Tables based on Multiple Comparisons |
| multComp.mer | Create Model Selection Tables based on Multiple Comparisons |
| multComp.merMod | Create Model Selection Tables based on Multiple Comparisons |
| multComp.negbin | Create Model Selection Tables based on Multiple Comparisons |
| multComp.rlm | Create Model Selection Tables based on Multiple Comparisons |
| multComp.survreg | Create Model Selection Tables based on Multiple Comparisons |
-- N --
| newt | Newt Capture-mark-recapture Data |
| Nmix.chisq | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.chisq.default | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.chisq.unmarkedFitDS | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.chisq.unmarkedFitDSO | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.chisq.unmarkedFitGDS | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.chisq.unmarkedFitGMM | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.chisq.unmarkedFitGPC | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.chisq.unmarkedFitMMO | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.chisq.unmarkedFitMPois | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.chisq.unmarkedFitPCO | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.chisq.unmarkedFitPCount | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test.default | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test.unmarkedFitDS | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test.unmarkedFitDSO | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test.unmarkedFitGDS | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test.unmarkedFitGMM | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test.unmarkedFitGPC | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test.unmarkedFitMMO | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test.unmarkedFitMPois | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test.unmarkedFitPCO | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| Nmix.gof.test.unmarkedFitPCount | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
-- P --
| pine | Strength of Pine Wood Based on the Density Adjusted for Resin Content |
| predictSE | Computing Predicted Values and Standard Errors |
| predictSE.default | Computing Predicted Values and Standard Errors |
| predictSE.gls | Computing Predicted Values and Standard Errors |
| predictSE.lme | Computing Predicted Values and Standard Errors |
| predictSE.lmerModLmerTest | Computing Predicted Values and Standard Errors |
| predictSE.mer | Computing Predicted Values and Standard Errors |
| predictSE.merMod | Computing Predicted Values and Standard Errors |
| predictSE.unmarkedFitPCO | Computing Predicted Values and Standard Errors |
| predictSE.unmarkedFitPCount | Computing Predicted Values and Standard Errors |
| predictSE.zip | Defunct Functions in AICcmodavg Package |
| print.aictab | Create Model Selection Tables |
| print.anovaOD | Likelihood-Ratio Test Corrected for Overdispersion |
| print.bictab | Create Model Selection Tables Based on BIC |
| print.boot.wt | Compute Model Selection Relative Frequencies |
| print.checkConv | Check Convergence of Fitted Model |
| print.checkParms | Identify Parameters with Large Standard Errors |
| print.confset | Computing Confidence Set for the Kullback-Leibler Best Model |
| print.countDist | Compute Summary Statistics from Distance Sampling Data |
| print.countHist | Compute Summary Statistics from Count Histories |
| print.covDiag | Compute Covariance Diagnostic for Lambda in _N_-mixture Models |
| print.c_hat | Estimate Dispersion for Poisson and Binomial GLM's and GLMM's |
| print.detHist | Compute Summary Statistics from Detection Histories |
| print.detTime | Compute Summary Statistics from Time to Detection Data |
| print.dictab | Create Model Selection Tables from Bayesian Analyses |
| print.evidence | Compute Evidence Ratio Between Two Models |
| print.extractCN | Compute Condition Number |
| print.extractX | Extract Predictors from Candidate Model List |
| print.ictab | Create Model Selection Tables from User-supplied Information Criterion |
| print.importance | Compute Importance Values of Variable |
| print.mb.chisq | Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models |
| print.modavg | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| print.modavgCustom | Compute Model-averaged Parameter Estimate from User-supplied Input Based on (Q)AIC(c) |
| print.modavgEffect | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| print.modavgIC | Compute Model-averaged Parameter Estimate from User-supplied Information Criterion |
| print.modavgPred | Compute Model-averaged Predictions |
| print.modavgShrink | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| print.multComp | Create Model Selection Tables based on Multiple Comparisons |
| print.Nmix.chisq | Compute Chi-square Goodness-of-fit Test for N-mixture Models |
| print.summaryOD | Display Model Summary Corrected for Overdispersion |
-- R --
| reverse.exclude | Various Utility Functions |
| reverse.parm | Various Utility Functions |
-- S --
| salamander | Salamander Capture-mark-recapture Data |
| summaryOD | Display Model Summary Corrected for Overdispersion |
| summaryOD.glm | Display Model Summary Corrected for Overdispersion |
| summaryOD.glmerMod | Display Model Summary Corrected for Overdispersion |
| summaryOD.maxlikeFit | Display Model Summary Corrected for Overdispersion |
| summaryOD.multinom | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitColExt | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitDS | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitDSO | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitGDS | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitGMM | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitGPC | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitMMO | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitMPois | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitOccu | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitOccuFP | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitOccuMS | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitOccuMulti | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitOccuRN | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitOccuTTD | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitPCO | Display Model Summary Corrected for Overdispersion |
| summaryOD.unmarkedFitPCount | Display Model Summary Corrected for Overdispersion |
| summaryOD.vglm | Display Model Summary Corrected for Overdispersion |
-- T --
| tortoise | Gopher Tortoise Distance Sampling Data |
| turkey | Turkey Weight Gain |
-- U --
| useBIC | Computing BIC or QBIC |
| useBIC.aov | Computing BIC or QBIC |
| useBIC.betareg | Computing BIC or QBIC |
| useBIC.clm | Computing BIC or QBIC |
| useBIC.clmm | Computing BIC or QBIC |
| useBIC.coxme | Computing BIC or QBIC |
| useBIC.coxph | Computing BIC or QBIC |
| useBIC.default | Computing BIC or QBIC |
| useBIC.fitdist | Computing BIC or QBIC |
| useBIC.fitdistr | Computing BIC or QBIC |
| useBIC.glm | Computing BIC or QBIC |
| useBIC.glmmTMB | Computing BIC or QBIC |
| useBIC.gls | Computing BIC or QBIC |
| useBIC.gnls | Computing BIC or QBIC |
| useBIC.hurdle | Computing BIC or QBIC |
| useBIC.lavaan | Computing BIC or QBIC |
| useBIC.lm | Computing BIC or QBIC |
| useBIC.lme | Computing BIC or QBIC |
| useBIC.lmekin | Computing BIC or QBIC |
| useBIC.lmerModLmerTest | Computing BIC or QBIC |
| useBIC.maxlikeFit | Computing BIC or QBIC |
| useBIC.mer | Computing BIC or QBIC |
| useBIC.merMod | Computing BIC or QBIC |
| useBIC.multinom | Computing BIC or QBIC |
| useBIC.nlme | Computing BIC or QBIC |
| useBIC.nls | Computing BIC or QBIC |
| useBIC.polr | Computing BIC or QBIC |
| useBIC.rlm | Computing BIC or QBIC |
| useBIC.survreg | Computing BIC or QBIC |
| useBIC.unmarkedFit | Computing BIC or QBIC |
| useBIC.vglm | Computing BIC or QBIC |
| useBIC.zeroinfl | Computing BIC or QBIC |
| useBICCustom | Custom Computation of BIC and QBIC from User-supplied Input |
-- X --
| xtable.aictab | Format Objects to LaTeX or HTML |
| xtable.anovaOD | Format Objects to LaTeX or HTML |
| xtable.bictab | Format Objects to LaTeX or HTML |
| xtable.boot.wt | Format Objects to LaTeX or HTML |
| xtable.checkParms | Format Objects to LaTeX or HTML |
| xtable.countDist | Format Objects to LaTeX or HTML |
| xtable.countHist | Format Objects to LaTeX or HTML |
| xtable.detHist | Format Objects to LaTeX or HTML |
| xtable.detTime | Format Objects to LaTeX or HTML |
| xtable.dictab | Format Objects to LaTeX or HTML |
| xtable.ictab | Format Objects to LaTeX or HTML |
| xtable.mb.chisq | Format Objects to LaTeX or HTML |
| xtable.modavg | Format Objects to LaTeX or HTML |
| xtable.modavgCustom | Format Objects to LaTeX or HTML |
| xtable.modavgEffect | Format Objects to LaTeX or HTML |
| xtable.modavgIC | Format Objects to LaTeX or HTML |
| xtable.modavgPred | Format Objects to LaTeX or HTML |
| xtable.modavgShrink | Format Objects to LaTeX or HTML |
| xtable.multComp | Format Objects to LaTeX or HTML |
| xtable.summaryOD | Format Objects to LaTeX or HTML |