B C D E F G H I J L M P R S U V W X misc
lcmm-package | Estimation of extended mixed models using latent classes and latent processes. |
Brandom | For internal use only ... |
coef.externSurv | Standard methods for estimated models |
coef.externX | Standard methods for estimated models |
coef.hlme | Standard methods for estimated models |
coef.Jointlcmm | Standard methods for estimated models |
coef.lcmm | Standard methods for estimated models |
coef.mpjlcmm | Standard methods for estimated models |
coef.multlcmm | Standard methods for estimated models |
cuminc | Predicted cumulative incidence of event according to a profile of covariates |
C_calculustransfo | For internal use only ... |
C_cvpl | For internal use only ... |
C_hetmixcont | For internal use only ... |
C_hetmixcontmult | For internal use only ... |
C_hetmixlin | For internal use only ... |
C_hetmixord | For internal use only ... |
C_jointhet | For internal use only ... |
C_postprob2 | For internal use only ... |
C_predictcont | For internal use only ... |
C_predictmult | For internal use only ... |
data_hlme | Simulated dataset for hlme function |
data_lcmm | Simulated dataset for lcmm and Jointlcmm functions |
Diffepoce | Difference of expected prognostic cross-entropy (EPOCE) estimators and its 95% tracking interval between two joint latent class models estimated with 'Jointlcmm' |
dynpred | Individual dynamic predictions from a joint latent class model |
epoce | Estimators of the Expected Prognostic Observed Cross-Entropy (EPOCE) for evaluating predictive accuracy of joint latent class models estimated using 'Jointlcmm' |
estimates | Maximum likelihood estimates |
estimates.externSurv | Maximum likelihood estimates |
estimates.externX | Maximum likelihood estimates |
estimates.hlme | Maximum likelihood estimates |
estimates.Jointlcmm | Maximum likelihood estimates |
estimates.lcmm | Maximum likelihood estimates |
estimates.mpjlcmm | Maximum likelihood estimates |
estimates.multlcmm | Maximum likelihood estimates |
externVar | Estimation of secondary regression models after the estimation of a primary latent class model |
factor.names | For internal use only ... |
fitted.hlme | Standard methods for estimated models |
fitted.Jointlcmm | Standard methods for estimated models |
fitted.lcmm | Standard methods for estimated models |
fitted.multlcmm | Standard methods for estimated models |
fitY | Marginal predictions of the longitudinal outcome(s) in their natural scale from 'lcmm', 'Jointlcmm' or 'multlcmm' objects |
fitY.Jointlcmm | Marginal predictions of the longitudinal outcome(s) in their natural scale from 'lcmm', 'Jointlcmm' or 'multlcmm' objects |
fitY.lcmm | Marginal predictions of the longitudinal outcome(s) in their natural scale from 'lcmm', 'Jointlcmm' or 'multlcmm' objects |
fitY.multlcmm | Marginal predictions of the longitudinal outcome(s) in their natural scale from 'lcmm', 'Jointlcmm' or 'multlcmm' objects |
fixef.hlme | Standard methods for estimated models |
fixef.Jointlcmm | Standard methods for estimated models |
fixef.lcmm | Standard methods for estimated models |
fixef.multlcmm | Standard methods for estimated models |
ForInternalUse | For internal use only ... |
gridsearch | Automatic grid search |
hlme | Estimation of latent class linear mixed models |
ItemInfo | Conditional probabilities and item information given specified latent process values for 'lcmm' or 'multlcmm' object with ordinal outcomes. |
jlcmm | Estimation of joint latent class models for longitudinal and time-to-event data |
Jointlcmm | Estimation of joint latent class models for longitudinal and time-to-event data |
lcmm | Estimation of mixed-effect models and latent class mixed-effect models for different types of outcomes (continuous Gaussian, continuous non-Gaussian or ordinal) |
loglik | Wrapper to the Fortran subroutines computing the log-likelihood |
loglikhlme | Wrapper to the Fortran subroutines computing the log-likelihood |
loglikJointlcmm | Wrapper to the Fortran subroutines computing the log-likelihood |
logliklcmm | Wrapper to the Fortran subroutines computing the log-likelihood |
loglikmpjlcmm | Wrapper to the Fortran subroutines computing the log-likelihood |
loglikmultlcmm | Wrapper to the Fortran subroutines computing the log-likelihood |
mixture | For internal use only ... |
mlcmm | Estimation of multivariate mixed-effect models and multivariate latent class mixed-effect models for multivariate longitudinal outcomes of possibly multiple types (continuous Gaussian, continuous non-Gaussian/curvilinear, ordinal) that measure the same underlying latent process. |
mpjlcmm | Estimation of multivariate joint latent class mixed models |
multlcmm | Estimation of multivariate mixed-effect models and multivariate latent class mixed-effect models for multivariate longitudinal outcomes of possibly multiple types (continuous Gaussian, continuous non-Gaussian/curvilinear, ordinal) that measure the same underlying latent process. |
paquid | Longitudinal data on cognitive and physical aging in the elderly |
permut | Permutation of the latent classes |
plot | Plot of a fitted model |
plot.cuminc | Plot of predicted cumulative incidences according to a profile of covariates |
plot.Diffepoce | Plots |
plot.dynpred | Plot of individual dynamic predictions |
plot.epoce | Plots |
plot.externSurv | Plot of a fitted model |
plot.externX | Plot of a fitted model |
plot.hlme | Plot of a fitted model |
plot.ItemInfo | Plot of information functions |
plot.Jointlcmm | Plot of a fitted model |
plot.lcmm | Plot of a fitted model |
plot.mpjlcmm | Plot of a fitted model |
plot.multlcmm | Plot of a fitted model |
plot.pred.accuracy | Plots |
plot.predict | Plot of predicted trajectories and link functions |
plot.predictL | Plot of predicted trajectories and link functions |
plot.predictL.Jointlcmm | Plot of predicted trajectories and link functions |
plot.predictL.lcmm | Plot of predicted trajectories and link functions |
plot.predictL.multlcmm | Plot of predicted trajectories and link functions |
plot.predictlink | Plot of predicted trajectories and link functions |
plot.predictlink.Jointlcmm | Plot of predicted trajectories and link functions |
plot.predictlink.lcmm | Plot of predicted trajectories and link functions |
plot.predictlink.multlcmm | Plot of predicted trajectories and link functions |
plot.predictY | Plot of predicted trajectories and link functions |
plot.predictY.hlme | Plot of predicted trajectories and link functions |
plot.predictY.Jointlcmm | Plot of predicted trajectories and link functions |
plot.predictY.lcmm | Plot of predicted trajectories and link functions |
plot.predictY.multlcmm | Plot of predicted trajectories and link functions |
plot.predictYcond | Plot of predicted trajectories and link functions |
postprob | Posterior classification stemmed from a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' estimation |
postprob.externSurv | Posterior classification stemmed from a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' estimation |
postprob.externX | Posterior classification stemmed from a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' estimation |
postprob.hlme | Posterior classification stemmed from a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' estimation |
postprob.Jointlcmm | Posterior classification stemmed from a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' estimation |
postprob.lcmm | Posterior classification stemmed from a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' estimation |
postprob.mpjlcmm | Posterior classification stemmed from a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' estimation |
postprob.multlcmm | Posterior classification stemmed from a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' estimation |
predictClass | Posterior classification and class-membership probabilities |
predictL | Class-specific marginal predictions in the latent process scale for 'lcmm', 'Jointlcmm' and 'multlcmm' objects |
predictL.Jointlcmm | Class-specific marginal predictions in the latent process scale for 'lcmm', 'Jointlcmm' and 'multlcmm' objects |
predictL.lcmm | Class-specific marginal predictions in the latent process scale for 'lcmm', 'Jointlcmm' and 'multlcmm' objects |
predictL.multlcmm | Class-specific marginal predictions in the latent process scale for 'lcmm', 'Jointlcmm' and 'multlcmm' objects |
predictlink | Confidence intervals for the estimated link functions from 'lcmm', 'Jointlcmm' and 'multlcmm' |
predictlink.Jointlcmm | Confidence intervals for the estimated link functions from 'lcmm', 'Jointlcmm' and 'multlcmm' |
predictlink.lcmm | Confidence intervals for the estimated link functions from 'lcmm', 'Jointlcmm' and 'multlcmm' |
predictlink.multlcmm | Confidence intervals for the estimated link functions from 'lcmm', 'Jointlcmm' and 'multlcmm' |
predictRE | Predictions of the random-effects |
predictY | Predictions (marginal and possibly subject-specific in some cases) of a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' object in the natural scale of the longitudinal outcome(s) computed from a profile of covariates (marginal) or individual data (subject specific in case of 'hlme'). |
predictY.hlme | Predictions (marginal and possibly subject-specific in some cases) of a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' object in the natural scale of the longitudinal outcome(s) computed from a profile of covariates (marginal) or individual data (subject specific in case of 'hlme'). |
predictY.Jointlcmm | Predictions (marginal and possibly subject-specific in some cases) of a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' object in the natural scale of the longitudinal outcome(s) computed from a profile of covariates (marginal) or individual data (subject specific in case of 'hlme'). |
predictY.lcmm | Predictions (marginal and possibly subject-specific in some cases) of a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' object in the natural scale of the longitudinal outcome(s) computed from a profile of covariates (marginal) or individual data (subject specific in case of 'hlme'). |
predictY.multlcmm | Predictions (marginal and possibly subject-specific in some cases) of a 'hlme', 'lcmm', 'multlcmm' or 'Jointlcmm' object in the natural scale of the longitudinal outcome(s) computed from a profile of covariates (marginal) or individual data (subject specific in case of 'hlme'). |
predictYcond | Conditional predictions of a 'lcmm', 'multlcmm' or 'Jointlcmm' object in the natural scale of the longitudinal outcome(s) for specified latent process values. |
print.Diffepoce | Brief summary of a 'hlme', 'lcmm', 'Jointlcmm','multlcmm', 'epoce' or 'Diffepoce' objects |
print.epoce | Brief summary of a 'hlme', 'lcmm', 'Jointlcmm','multlcmm', 'epoce' or 'Diffepoce' objects |
print.externSurv | Brief summary of a 'hlme', 'lcmm', 'Jointlcmm','multlcmm', 'epoce' or 'Diffepoce' objects |
print.externX | Brief summary of a 'hlme', 'lcmm', 'Jointlcmm','multlcmm', 'epoce' or 'Diffepoce' objects |
print.hlme | Brief summary of a 'hlme', 'lcmm', 'Jointlcmm','multlcmm', 'epoce' or 'Diffepoce' objects |
print.Jointlcmm | Brief summary of a 'hlme', 'lcmm', 'Jointlcmm','multlcmm', 'epoce' or 'Diffepoce' objects |
print.lcmm | Brief summary of a 'hlme', 'lcmm', 'Jointlcmm','multlcmm', 'epoce' or 'Diffepoce' objects |
print.mpjlcmm | Brief summary of a 'hlme', 'lcmm', 'Jointlcmm','multlcmm', 'epoce' or 'Diffepoce' objects |
print.multlcmm | Brief summary of a 'hlme', 'lcmm', 'Jointlcmm','multlcmm', 'epoce' or 'Diffepoce' objects |
ranef.hlme | Standard methods for estimated models |
ranef.Jointlcmm | Standard methods for estimated models |
ranef.lcmm | Standard methods for estimated models |
ranef.multlcmm | Standard methods for estimated models |
residuals.hlme | Standard methods for estimated models |
residuals.Jointlcmm | Standard methods for estimated models |
residuals.lcmm | Standard methods for estimated models |
residuals.multlcmm | Standard methods for estimated models |
risqcum_spl | For internal use only ... |
risq_spl | For internal use only ... |
simdataHADS | Simulated dataset simdataHADS |
simulate.lcmm | Data simulation according to models from lcmm package |
StandardMethods | Standard methods for estimated models |
summary.Diffepoce | Summary of a 'hlme', 'lcmm', 'Jointlcmm', 'multlcmm', 'mpjlcmm', 'externSurv', 'externX', 'epoce' or 'Diffepoce' objects |
summary.epoce | Summary of a 'hlme', 'lcmm', 'Jointlcmm', 'multlcmm', 'mpjlcmm', 'externSurv', 'externX', 'epoce' or 'Diffepoce' objects |
summary.externSurv | Summary of a 'hlme', 'lcmm', 'Jointlcmm', 'multlcmm', 'mpjlcmm', 'externSurv', 'externX', 'epoce' or 'Diffepoce' objects |
summary.externX | Summary of a 'hlme', 'lcmm', 'Jointlcmm', 'multlcmm', 'mpjlcmm', 'externSurv', 'externX', 'epoce' or 'Diffepoce' objects |
summary.hlme | Summary of a 'hlme', 'lcmm', 'Jointlcmm', 'multlcmm', 'mpjlcmm', 'externSurv', 'externX', 'epoce' or 'Diffepoce' objects |
summary.Jointlcmm | Summary of a 'hlme', 'lcmm', 'Jointlcmm', 'multlcmm', 'mpjlcmm', 'externSurv', 'externX', 'epoce' or 'Diffepoce' objects |
summary.lcmm | Summary of a 'hlme', 'lcmm', 'Jointlcmm', 'multlcmm', 'mpjlcmm', 'externSurv', 'externX', 'epoce' or 'Diffepoce' objects |
summary.mpjlcmm | Summary of a 'hlme', 'lcmm', 'Jointlcmm', 'multlcmm', 'mpjlcmm', 'externSurv', 'externX', 'epoce' or 'Diffepoce' objects |
summary.multlcmm | Summary of a 'hlme', 'lcmm', 'Jointlcmm', 'multlcmm', 'mpjlcmm', 'externSurv', 'externX', 'epoce' or 'Diffepoce' objects |
summaryplot | Summary of models |
summarytable | Summary of models |
update.mpjlcmm | Update the longitudinal submodels |
VarCov | Variance-covariance of the estimates |
VarCovRE | Estimates, standard errors and Wald test for the parameters of the variance-covariance matrix of the random effects. |
VarCovRE.hlme | Estimates, standard errors and Wald test for the parameters of the variance-covariance matrix of the random effects. |
VarCovRE.Jointlcmm | Estimates, standard errors and Wald test for the parameters of the variance-covariance matrix of the random effects. |
VarCovRE.lcmm | Estimates, standard errors and Wald test for the parameters of the variance-covariance matrix of the random effects. |
VarCovRE.multlcmm | Estimates, standard errors and Wald test for the parameters of the variance-covariance matrix of the random effects. |
VarExpl | Percentage of variance explained by the (latent class) linear mixed model regression |
VarExpl.hlme | Percentage of variance explained by the (latent class) linear mixed model regression |
VarExpl.Jointlcmm | Percentage of variance explained by the (latent class) linear mixed model regression |
VarExpl.lcmm | Percentage of variance explained by the (latent class) linear mixed model regression |
VarExpl.multlcmm | Percentage of variance explained by the (latent class) linear mixed model regression |
vcov.externSurv | Standard methods for estimated models |
vcov.externX | Standard methods for estimated models |
vcov.hlme | Standard methods for estimated models |
vcov.Jointlcmm | Standard methods for estimated models |
vcov.lcmm | Standard methods for estimated models |
vcov.mpjlcmm | Standard methods for estimated models |
vcov.multlcmm | Standard methods for estimated models |
WaldMult | Multivariate Wald Test |
xclass | Cross classifications |
.Contlcmm | For internal use only ... |
.Ordlcmm | For internal use only ... |
.plotbaselinerisk | For internal use only ... |
.plotfit | For internal use only ... |
.plotlinkfunctionmult | For internal use only ... |
.plotlinkfuntion | For internal use only ... |
.plotpostprob | For internal use only ... |
.plotresid | For internal use only ... |
.plotsurvival | For internal use only ... |