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A B C D E F H I J L M N P R S U V W misc
| anova.svycoxph | Survey-weighted generalised linear 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 |
| apistrat | Student performance in California schools |
| 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.vector.repweights_compressed | Compress replicate weight matrix |
| brrweights | Compute replicate weights |
| coef.svrepstat | Summary statistics for sample surveys |
| coef.svyglm | Survey-weighted generalised linear models. |
| coef.svymle | Maximum pseudolikelihood estimation in complex surveys |
| coef.svystat | Summary statistics for sample surveys |
| compressWeights | Compress replicate weight matrix |
| compressWeights.svyrep.design | Compress replicate weight matrix |
| crowd | Household crowding |
| cv | Summary statistics for sample surveys |
| deff | Summary statistics for sample surveys |
| dim.repweights_compressed | Compress replicate weight matrix |
| dim.survey.design | Survey sample analysis. |
| dimnames.repweights_compressed | Compress replicate weight matrix |
| extractAIC.svrepglm | Survey-weighted generalised linear models. |
| extractAIC.svycoxph | Survey-weighted generalised linear models. |
| extractAIC.svyglm | Survey-weighted generalised linear models. |
| 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 |
| hadamard | Hadamard matrices |
| hospital | Sample of obstetric hospitals |
| image.svyrep.design | Specify survey design with replicate weights |
| jk1weights | Compute replicate weights |
| jknweights | Compute replicate weights |
| joinCells | Experimental: Construct non-response weights |
| logLik.svrepglm | Survey-weighted generalised linear models. |
| logLik.svyglm | Survey-weighted generalised linear models. |
| model.frame.svycoxph | Survey-weighted generalised linear models. |
| na.exclude.survey.design | Survey sample analysis. |
| na.fail.survey.design | Survey sample analysis. |
| na.omit.survey.design | Survey sample analysis. |
| neighbours | Experimental: Construct non-response weights |
| nonresponse | Experimental: Construct non-response weights |
| postStratify | Post-stratify a survey |
| postStratify.survey.design | Post-stratify a survey |
| postStratify.svyrep.design | Post-stratify a survey |
| predict.svyratio | Ratio estimation |
| 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.survey.design | Survey sample analysis. |
| print.summary.svyglm | Survey-weighted generalised linear models. |
| print.summary.svyrep.design | Specify survey design with replicate weights |
| print.summary.svytable | Contingency tables for survey data |
| print.survey.design | Survey sample analysis. |
| print.svrepstat | Summary statistics for sample surveys |
| print.svycoxph | Survey-weighted generalised linear models. |
| print.svyglm | Survey-weighted generalised linear models. |
| print.svymle | Maximum pseudolikelihood estimation in complex surveys |
| print.svyratio | Ratio estimation |
| print.svyrep.design | Specify survey design with replicate weights |
| print.svystat | Summary statistics for sample surveys |
| 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. |
| scd | Survival in cardiac arrest |
| SE | Extract standard errors |
| sparseCells | Experimental: Construct non-response weights |
| subset.survey.design | Subset of survey |
| subset.svyrep.design | Subset of survey |
| summary.survey.design | Survey sample analysis. |
| summary.svrepglm | Survey-weighted generalised linear models. |
| summary.svreptable | Contingency tables for survey data |
| summary.svycoxph | Survey-weighted generalised linear models. |
| 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 |
| survfit.svycoxph | Survey-weighted generalised linear models. |
| svrepdesign | Specify survey design with replicate weights |
| svrepglm | Survey-weighted generalised linear models. |
| svrepmean | Summary statistics for sample surveys |
| svrepquantile | Quantiles for sample surveys |
| svrepratio | Ratio estimation |
| svreptable | Contingency tables for survey data |
| svreptotal | Summary statistics for sample surveys |
| svrepvar | Summary statistics for sample surveys |
| svrVar | Compute variance from replicates |
| svy.varcoef | Sandwich variance estimator for glms |
| svyby | Survey statistics on subsets |
| svychisq | Contingency tables for survey data |
| svycoxph | Survey-weighted generalised linear models. |
| svyCprod | Computations for survey variances |
| svydesign | Survey sample analysis. |
| svyglm | Survey-weighted generalised linear models. |
| svymean | Summary statistics for sample surveys |
| svymle | Maximum pseudolikelihood estimation in complex surveys |
| svyplot | Plots for survey data |
| svyquantile | Quantiles for sample surveys |
| svyratio | Ratio estimation |
| svytable | Contingency tables for survey data |
| svytotal | Summary statistics for sample surveys |
| svyvar | Summary statistics for sample surveys |
| update.survey.design | Add variables to a survey design |
| update.svyrep.design | 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.svystat | Summary statistics for sample surveys |
| weights.nonresponse | Experimental: Construct non-response weights |
| weights.survey.design | Survey design weights |
| weights.svyrep.design | Survey design weights |
| withReplicates | Compute variances by replicate weighting |
| [.nonresponse | Experimental: Construct non-response weights |
| [.repweights_compressed | Compress replicate weight matrix |
| [.survey.design | Survey sample analysis. |
| [.svyrep.design | Specify survey design with replicate weights |
| [<-.survey.design | Survey sample analysis. |