A B C D E F G H I J L M N O P Q R S T U V W X Y misc
| AIC.svycoxph | Survey-weighted Cox models. | 
| AIC.svyglm | Model comparison for glms. | 
| anova.svycoxph | Model comparison for glms. | 
| anova.svyglm | Model comparison for glms. | 
| anova.svyloglin | Loglinear models | 
| api | Student performance in California schools | 
| apiclus1 | Student performance in California schools | 
| apiclus2 | Student performance in California schools | 
| apipop | Student performance in California schools | 
| apisrs | Student performance in California schools | 
| apistrat | Student performance in California schools | 
| as.fpc | Package sample and population size data | 
| as.matrix.repweights | Compress replicate weight matrix | 
| as.matrix.repweights_compressed | Compress replicate weight matrix | 
| as.svrepdesign | Convert a survey design to use replicate weights | 
| as.svrepdesign.default | Convert a survey design to use replicate weights | 
| as.svrepdesign.svyimputationList | Convert a survey design to use replicate weights | 
| as.svydesign2 | Update to the new survey design format | 
| as.vector.repweights_compressed | Compress replicate weight matrix | 
| barplot.svrepstat | Barplots and Dotplots | 
| barplot.svyby | Barplots and Dotplots | 
| barplot.svystat | Barplots and Dotplots | 
| BIC.svyglm | Model comparison for glms. | 
| biplot.svyprcomp | Sampling-weighted principal component analysis | 
| bootstratum | Compute survey bootstrap weights | 
| bootweights | Compute survey bootstrap weights | 
| brrweights | Compute replicate weights | 
| cal.linear | Calibration metrics | 
| cal.logit | Calibration metrics | 
| cal.raking | Calibration metrics | 
| cal.sinh | Calibration metrics | 
| calibrate | Calibration (GREG) estimators | 
| calibrate.survey.design2 | Calibration (GREG) estimators | 
| calibrate.svyrep.design | Calibration (GREG) estimators | 
| calibrate.twophase | Calibration (GREG) estimators | 
| cal_names | Calibration (GREG) estimators | 
| close.DBIsvydesign | Open and close DBI connections | 
| coef.svrepstat | Summary statistics for sample surveys | 
| coef.svyby | Survey statistics on subsets | 
| coef.svyglm | Survey-weighted generalised linear models. | 
| coef.svyloglin | Loglinear models | 
| coef.svymle | Maximum pseudolikelihood estimation in complex surveys | 
| coef.svyratio | Ratio estimation | 
| coef.svystat | Summary statistics for sample surveys | 
| compressWeights | Compress replicate weight matrix | 
| compressWeights.default | Compress replicate weight matrix | 
| compressWeights.repweights_compressed | Compress replicate weight matrix | 
| compressWeights.svyrep.design | Compress replicate weight matrix | 
| confint.svrepstat | Summary statistics for sample surveys | 
| confint.svyby | Survey statistics on subsets | 
| confint.svyglm | Confidence intervals for regression parameters | 
| confint.svykm | Estimate survival function. | 
| confint.svyratio | Ratio estimation | 
| confint.svystat | Summary statistics for sample surveys | 
| confint.svyttest | Design-based t-test | 
| crowd | Household crowding | 
| cv | Summary statistics for sample surveys | 
| cv.default | Summary statistics for sample surveys | 
| cv.svrepratio | Summary statistics for sample surveys | 
| cv.svrepstat | Summary statistics for sample surveys | 
| cv.svyratio | Summary statistics for sample surveys | 
| cv.svystat | Summary statistics for sample surveys | 
| deff | Summary statistics for sample surveys | 
| deff.default | Summary statistics for sample surveys | 
| deff.svyby | Survey statistics on subsets | 
| degf | Contingency tables for survey data | 
| degf.survey.design2 | Contingency tables for survey data | 
| degf.svyrep.design | Contingency tables for survey data | 
| degf.twophase | Contingency tables for survey data | 
| dim.DBIsvydesign | Dimensions of survey designs | 
| dim.repweights_compressed | Compress replicate weight matrix | 
| dim.survey.design | Dimensions of survey designs | 
| dim.svyimputationList | Dimensions of survey designs | 
| dim.svyrep.design | Dimensions of survey designs | 
| dim.twophase | Dimensions of survey designs | 
| dimnames.DBIsvydesign | Dimensions of survey designs | 
| dimnames.repweights_compressed | Compress replicate weight matrix | 
| dimnames.survey.design | Dimensions of survey designs | 
| dimnames.svyimputationList | Dimensions of survey designs | 
| dimnames.svyrep.design | Dimensions of survey designs | 
| dimnames.twophase | Dimensions of survey designs | 
| dotchart | Barplots and Dotplots | 
| dotchart.svrepstat | Barplots and Dotplots | 
| dotchart.svyby | Barplots and Dotplots | 
| dotchart.svystat | Barplots and Dotplots | 
| election | US 2004 presidential election data at state or county level | 
| election_insample | US 2004 presidential election data at state or county level | 
| election_jointHR | US 2004 presidential election data at state or county level | 
| election_jointprob | US 2004 presidential election data at state or county level | 
| election_pps | US 2004 presidential election data at state or county level | 
| estWeights | Estimated weights for missing data | 
| estWeights.data.frame | Estimated weights for missing data | 
| estWeights.twophase | Estimated weights for missing data | 
| extractAIC.svrepglm | Model comparison for glms. | 
| extractAIC.svycoxph | Survey-weighted Cox models. | 
| extractAIC.svyglm | Model comparison for glms. | 
| fpc | Small survey example | 
| ftable.svrepstat | Lay out tables of survey statistics | 
| ftable.svyby | Lay out tables of survey statistics | 
| ftable.svystat | Lay out tables of survey statistics | 
| grake | Calibration (GREG) estimators | 
| hadamard | Hadamard matrices | 
| hospital | Sample of obstetric hospitals | 
| HR | Wrappers for specifying PPS designs | 
| image.svyrep.design | Specify survey design with replicate weights | 
| is.hadamard | Paley-type Hadamard matrices | 
| jk1weights | Compute replicate weights | 
| jknweights | Compute replicate weights | 
| joinCells | Experimental: Construct non-response weights | 
| lines.svykm | Estimate survival function. | 
| lines.svysmooth | Scatterplot smoothing and density estimation | 
| make.calfun | Calibration metrics | 
| make.formula | Summary statistics for sample surveys | 
| make.panel.svysmooth | Scatterplot smoothing and density estimation | 
| marginpred | Standardised predictions (predictive margins) for regression models. | 
| marginpred.svycoxph | Standardised predictions (predictive margins) for regression models. | 
| marginpred.svyglm | Standardised predictions (predictive margins) for regression models. | 
| marginpred.svykmlist | Standardised predictions (predictive margins) for regression models. | 
| model.frame.svyrep.design | Specify survey design with replicate weights | 
| model.frame.twophase | Two-phase designs | 
| mrbweights | Compute survey bootstrap weights | 
| mu284 | Two-stage sample from MU284 | 
| multistage | Variance estimation for multistage surveys | 
| multistage.phase1 | Two-phase designs | 
| multistage_rcpp | Variance estimation for multistage surveys | 
| myco | Association between leprosy and BCG vaccination | 
| na.exclude.survey.design | Survey sample analysis. | 
| na.exclude.twophase | Two-phase designs | 
| na.fail.survey.design | Survey sample analysis. | 
| na.fail.twophase | Two-phase designs | 
| na.omit.survey.design | Survey sample analysis. | 
| na.omit.twophase | Two-phase designs | 
| neighbours | Experimental: Construct non-response weights | 
| nhanes | Cholesterol data from a US survey | 
| nonresponse | Experimental: Construct non-response weights | 
| oldsvyquantile | Deprecated implementation of quantiles | 
| oldsvyquantile.survey.design | Deprecated implementation of quantiles | 
| oldsvyquantile.svyrep.design | Deprecated implementation of quantiles | 
| onestage | Computations for survey variances | 
| onestage.phase1 | Two-phase designs | 
| onestrat | Computations for survey variances | 
| onestrat.phase1 | Two-phase designs | 
| open.DBIsvydesign | Open and close DBI connections | 
| paley | Paley-type Hadamard matrices | 
| pchisqsum | Distribution of quadratic forms | 
| pFsum | Distribution of quadratic forms | 
| plot.svycdf | Cumulative Distribution Function | 
| plot.svykm | Estimate survival function. | 
| plot.svykmlist | Estimate survival function. | 
| plot.svysmooth | Scatterplot smoothing and density estimation | 
| poisson_sampling | Specify Poisson sampling design | 
| postStratify | Post-stratify a survey | 
| postStratify.survey.design | Post-stratify a survey | 
| postStratify.svyrep.design | Post-stratify a survey | 
| postStratify.twophase | Post-stratify a survey | 
| ppscov | Wrappers for specifying PPS designs | 
| ppsmat | Wrappers for specifying PPS designs | 
| predict.svrepglm | Survey-weighted generalised linear models. | 
| predict.svycoxph | Survey-weighted Cox models. | 
| predict.svyglm | Survey-weighted generalised linear models. | 
| predict.svyolr | Proportional odds and related models | 
| predict.svyratio | Ratio estimation | 
| predict.svyratio_separate | Ratio estimation | 
| print.anova.svyloglin | Loglinear models | 
| print.nonresponse | Experimental: Construct non-response weights | 
| print.nonresponseSubset | Experimental: Construct non-response weights | 
| print.regTermTest | Wald test for a term in a regression model | 
| print.summary.svyrep.design | Specify survey design with replicate weights | 
| print.summary.svytable | Contingency tables for survey data | 
| print.summary.twophase | Two-phase designs | 
| print.svycdf | Cumulative Distribution Function | 
| print.svymle | Maximum pseudolikelihood estimation in complex surveys | 
| print.svyquantile | Deprecated implementation of quantiles | 
| print.svyratio | Ratio estimation | 
| print.svyratio_separate | Ratio estimation | 
| print.svyrep.design | Specify survey design with replicate weights | 
| print.svysmooth | Scatterplot smoothing and density estimation | 
| print.twophase | Two-phase designs | 
| psrsq | Pseudo-Rsquareds | 
| quantile.svykm | Estimate survival function. | 
| rake | Raking of replicate weight design | 
| regTermTest | Wald test for a term in a regression model | 
| residuals.svrepglm | Survey-weighted generalised linear models. | 
| residuals.svyglm | Survey-weighted generalised linear models. | 
| salamander | Salamander mating data set from McCullagh and Nelder (1989) | 
| scd | Survival in cardiac arrest | 
| SE | Extract standard errors | 
| SE.default | Extract standard errors | 
| SE.svrepstat | Extract standard errors | 
| SE.svyby | Survey statistics on subsets | 
| SE.svyratio | Ratio estimation | 
| sparseCells | Experimental: Construct non-response weights | 
| stratsample | Take a stratified sample | 
| subbootweights | Compute survey bootstrap weights | 
| subset.survey.design | Subset of survey | 
| subset.svyimputationList | Analyse multiple imputations | 
| subset.svyrep.design | Subset of survey | 
| subset.twophase | Two-phase designs | 
| summary.svrepglm | Survey-weighted generalised linear models. | 
| summary.svreptable | Contingency tables for survey data | 
| summary.svyglm | Survey-weighted generalised linear models. | 
| summary.svymle | Maximum pseudolikelihood estimation in complex surveys | 
| summary.svyrep.design | Specify survey design with replicate weights | 
| summary.svytable | Contingency tables for survey data | 
| summary.twophase | Two-phase designs | 
| survey.adjust.domain.lonely | Options for the survey package | 
| survey.drop.replicates | Options for the survey package | 
| survey.lonely.psu | Options for the survey package | 
| survey.multicore | Options for the survey package | 
| survey.replicates.mse | Options for the survey package | 
| survey.ultimate.cluster | Options for the survey package | 
| survey.use_rcpp | Options for the survey package | 
| survey.want.obsolete | Options for the survey package | 
| surveyoptions | Options for the survey package | 
| svrepdesign | Specify survey design with replicate weights | 
| svrepdesign.character | Specify survey design with replicate weights | 
| svrepdesign.default | Specify survey design with replicate weights | 
| svrepdesign.imputationList | Specify survey design with replicate weights | 
| svreptable | Contingency tables for survey data | 
| svrVar | Compute variance from replicates | 
| svy.varcoef | Sandwich variance estimator for glms | 
| svyboxplot | Histograms and boxplots | 
| svyby | Survey statistics on subsets | 
| svyby.default | Survey statistics on subsets | 
| svyby.survey.design2 | Survey statistics on subsets | 
| svybys | Survey statistics on subsets | 
| svycdf | Cumulative Distribution Function | 
| svychisq | Contingency tables for survey data | 
| svychisq.survey.design | Contingency tables for survey data | 
| svychisq.svyrep.design | Contingency tables for survey data | 
| svyciprop | Confidence intervals for proportions | 
| svycontrast | Linear and nonlinearconstrasts of survey statistics | 
| svycoplot | Conditioning plots of survey data | 
| svycoxph | Survey-weighted Cox models. | 
| svycoxph.survey.design | Survey-weighted Cox models. | 
| svycoxph.survey.design2 | Survey-weighted Cox models. | 
| svycoxph.svyrep.design | Survey-weighted Cox models. | 
| svyCprod | Computations for survey variances | 
| svycralpha | Cronbach's alpha | 
| svydesign | Survey sample analysis. | 
| svydesign.character | Survey sample analysis. | 
| svydesign.default | Survey sample analysis. | 
| svydesign.imputationList | Survey sample analysis. | 
| svyfactanal | Factor analysis in complex surveys (experimental). | 
| svyglm | Survey-weighted generalised linear models. | 
| svyglm.survey.design | Survey-weighted generalised linear models. | 
| svyglm.svyrep.design | Survey-weighted generalised linear models. | 
| svygofchisq | Test of fit to known probabilities | 
| svyhist | Histograms and boxplots | 
| svyivreg | Two-stage least-squares for instrumental variable regression | 
| svykappa | Cohen's kappa for agreement | 
| svykm | Estimate survival function. | 
| svyloglin | Loglinear models | 
| svylogrank | Compare survival distributions | 
| svymean | Summary statistics for sample surveys | 
| svymean.survey.design | Summary statistics for sample surveys | 
| svymean.survey.design2 | Summary statistics for sample surveys | 
| svymean.svyrep.design | Summary statistics for sample surveys | 
| svymean.twophase | Summary statistics for sample surveys | 
| svymle | Maximum pseudolikelihood estimation in complex surveys | 
| svynls | Probability-weighted nonlinear least squares | 
| svyolr | Proportional odds and related models | 
| svyolr.survey.design2 | Proportional odds and related models | 
| svyolr.svyrep.design | Proportional odds and related models | 
| svyplot | Plots for survey data | 
| svyplot.default | Plots for survey data | 
| svyprcomp | Sampling-weighted principal component analysis | 
| svypredmeans | Predictive marginal means | 
| svyqqmath | Quantile-quantile plots for survey data | 
| svyqqplot | Quantile-quantile plots for survey data | 
| svyquantile | Quantiles under complex sampling. | 
| svyquantile.survey.design | Quantiles under complex sampling. | 
| svyquantile.svyrep.design | Quantiles under complex sampling. | 
| svyranktest | Design-based rank tests | 
| svyratio | Ratio estimation | 
| svyratio.survey.design | Ratio estimation | 
| svyratio.survey.design2 | Ratio estimation | 
| svyratio.svyrep.design | Ratio estimation | 
| svyratio.twophase | Ratio estimation | 
| svyrecvar | Variance estimation for multistage surveys | 
| svyrecvar.phase1 | Two-phase designs | 
| svyscoretest | Score tests in survey regression models | 
| svyscoretest.svyglm | Score tests in survey regression models | 
| svysmooth | Scatterplot smoothing and density estimation | 
| svysmooth.default | Scatterplot smoothing and density estimation | 
| svysmoothArea | Small area estimation via basic area level model | 
| svysmoothUnit | Smooth via basic unit level model | 
| svystandardize | Direct standardization within domains | 
| svysurvreg | Fit accelerated failure models to survey data | 
| svysurvreg.survey.design | Fit accelerated failure models to survey data | 
| svytable | Contingency tables for survey data | 
| svytable.survey.design | Contingency tables for survey data | 
| svytable.svyrep.design | Contingency tables for survey data | 
| svytotal | Summary statistics for sample surveys | 
| svytotal.survey.design | Summary statistics for sample surveys | 
| svytotal.survey.design2 | Summary statistics for sample surveys | 
| svytotal.svyrep.design | Summary statistics for sample surveys | 
| svytotal.twophase | Summary statistics for sample surveys | 
| svyttest | Design-based t-test | 
| svyvar | Summary statistics for sample surveys | 
| svyvar.survey.design | Summary statistics for sample surveys | 
| svyvar.svyrep.design | Summary statistics for sample surveys | 
| trimWeights | Trim sampling weights | 
| trimWeights.survey.design2 | Trim sampling weights | 
| trimWeights.svyrep.design | Trim sampling weights | 
| twophase | Two-phase designs | 
| twophase2var | Two-phase designs | 
| twophasevar | Two-phase designs | 
| unwtd.count | Survey statistics on subsets | 
| update.DBIsvydesign | Add variables to a survey design | 
| update.survey.design | Add variables to a survey design | 
| update.svyloglin | Loglinear models | 
| update.svyrep.design | Add variables to a survey design | 
| update.twophase | Add variables to a survey design | 
| vcov.svrepstat | Summary statistics for sample surveys | 
| vcov.svyglm | Survey-weighted generalised linear models. | 
| vcov.svymle | Maximum pseudolikelihood estimation in complex surveys | 
| vcov.svyrep.design | Compute variances by replicate weighting | 
| vcov.svystat | Summary statistics for sample surveys | 
| weights.nonresponse | Experimental: Construct non-response weights | 
| weights.survey.design | Survey design weights | 
| weights.survey_fpc | Survey design weights | 
| weights.svyrep.design | Survey design weights | 
| with.svyimputationList | Analyse multiple imputations | 
| withPV.survey.design | Analyse plausible values in surveys | 
| withReplicates | Compute variances by replicate weighting | 
| withReplicates.svrepstat | Compute variances by replicate weighting | 
| withReplicates.svrepvar | Compute variances by replicate weighting | 
| withReplicates.svyimputationList | Compute variances by replicate weighting | 
| withReplicates.svyrep.design | Compute variances by replicate weighting | 
| xdesign | Crossed effects and other sparse correlations | 
| yrbs | One variable from the Youth Risk Behaviors Survey, 2015. | 
| .svycheck | Update to the new survey design format | 
| [.nonresponse | Experimental: Construct non-response weights | 
| [.repweights_compressed | Compress replicate weight matrix | 
| [.survey.design | Subset of survey | 
| [.svyrep.design | Specify survey design with replicate weights | 
| [.twophase | Two-phase designs |