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 |