| anova.svyglm | Model comparison for glms. |
| api | Student performance in California schools |
| as.fpc | Package sample and population size data |
| as.svrepdesign | Convert a survey design to use replicate weights |
| as.svydesign2 | Update to the new survey design format |
| barplot.svystat | Barplots and Dotplots |
| bootweights | Compute survey bootstrap weights |
| brrweights | Compute replicate weights |
| calibrate | Calibration (GREG) estimators |
| compressWeights | Compress replicate weight matrix |
| confint.svyglm | Confidence intervals for regression parameters |
| crowd | Household crowding |
| dimnames.DBIsvydesign | Dimensions of survey designs |
| election | US 2004 presidential election data at state or county level |
| estweights | Estimated weights for missing data |
| fpc | Small survey example |
| ftable.svystat | Lay out tables of survey statistics |
| hadamard | Hadamard matrices |
| hospital | Sample of obstetric hospitals |
| HR | Wrappers for specifying PPS designs |
| make.calfun | Calibration metrics |
| marginpred | Standardised predictions (predictive margins) for regression... |
| mu284 | Two-stage sample from MU284 |
| multiframe | Dual-frame and multi-frame surveys |
| multiphase | Multiphase sampling designs |
| myco | Association between leprosy and BCG vaccination |
| nhanes | Cholesterol data from a US survey |
| nonresponse | Experimental: Construct non-response weights |
| oldsvyquantile | Deprecated implementation of quantiles |
| open.DBIsvydesign | Open and close DBI connections |
| paley | Paley-type Hadamard matrices |
| pchisqsum | Distribution of quadratic forms |
| phoneframes | Database of household expenses for two sampling frames |
| poisson_sampling | Specify Poisson sampling design |
| postStratify | Post-stratify a survey |
| psrsq | Pseudo-Rsquareds |
| rake | Raking of replicate weight design |
| regTermTest | Wald test for a term in a regression model |
| reweight | Reweight (optimise) the weights on frames |
| salamander | Salamander mating data set from McCullagh and Nelder (1989) |
| scd | Survival in cardiac arrest |
| SE | Extract standard errors |
| smoothArea | Small area estimation via basic area level model |
| smoothUnit | Smooth via basic unit level model |
| stratsample | Take a stratified sample |
| subset.survey.design | Subset of survey |
| surveyoptions | Options for the survey package |
| surveysummary | Summary statistics for sample surveys |
| svrepdesign | Specify survey design with replicate weights |
| svrVar | Compute variance from replicates |
| svyby | Survey statistics on subsets |
| svycdf | Cumulative Distribution Function |
| svychisq | 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. |
| svyCprod | Computations for survey variances |
| svycralpha | Cronbach's alpha |
| svydesign | Survey sample analysis. |
| svyfactanal | Factor analysis in complex surveys (experimental). |
| svyglm | 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 |
| svymle | Maximum pseudolikelihood estimation in complex surveys |
| svynls | Probability-weighted nonlinear least squares |
| svyolr | Proportional odds and related models |
| svyplot | Plots for survey data |
| svyprcomp | Sampling-weighted principal component analysis |
| svypredmeans | Predictive marginal means |
| svyqqplot | Quantile-quantile plots for survey data |
| svyquantile | Quantiles under complex sampling. |
| svyranktest | Design-based rank tests |
| svyratio | Ratio estimation |
| svyrecvar | Variance estimation for multistage surveys |
| svyscoretest | Score tests in survey regression models |
| svysmooth | Scatterplot smoothing and density estimation |
| svystandardize | Direct standardization within domains |
| svysurvreg | Fit accelerated failure models to survey data |
| svyttest | Design-based t-test |
| svy.varcoef | Sandwich variance estimator for glms |
| trimWeights | Trim sampling weights |
| twophase | Two-phase designs |
| update.survey.design | Add variables to a survey design |
| weights.survey.design | Survey design weights |
| withCrossval | Crossvalidation using replicate weights |
| withPV.survey.design | Analyse plausible values in surveys |
| withReplicates | Compute variances by replicate weighting |
| with.svyimputationList | Analyse multiple imputations |
| xdesign | Crossed effects and other sparse correlations |
| yrbs | One variable from the Youth Risk Behaviors Survey, 2015. |
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