survey v3.36


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Analysis of Complex Survey Samples

Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Principal components, factor analysis.

Functions in survey

Name Description
HR Wrappers for specifying PPS designs
pchisqsum Distribution of quadratic forms
anova.svyglm Model comparison for glms.
svrVar Compute variance from replicates
postStratify Post-stratify a survey
barplot.svystat Barplots and Dotplots
svrepdesign Specify survey design with replicate weights
ftable.svystat Lay out tables of survey statistics
svyby Survey statistics on subsets
svycdf Cumulative Distribution Function Analyse plausible values in surveys
hadamard Hadamard matrices
api Student performance in California schools
withReplicates Compute variances by replicate weighting
estweights Estimated weights for missing data
fpc Small survey example
psrsq Pseudo-Rsquareds
rake Raking of replicate weight design
svycontrast Linear and nonlinearconstrasts of survey statistics
hospital Sample of obstetric hospitals
make.calfun Calibration metrics
bootweights Compute survey bootstrap weights
brrweights Compute replicate weights
svycoplot Conditioning plots of survey data
calibrate Calibration (GREG) estimators
svyloglin Loglinear models
compressWeights Compress replicate weight matrix
nhanes Cholesterol data from a US survey
stratsample Take a stratified sample
nonresponse Experimental: Construct non-response weights
regTermTest Wald test for a term in a regression model
svylogrank Compare survival distributions
svyplot Plots for survey data
scd Survival in cardiac arrest
svycoxph Survey-weighted Cox models.
svyprcomp Sampling-weighted principal component analysis
svycralpha Cronbach's alpha Survey design weights
svyglm Survey-weighted generalised linear models.
svyhist Histograms and boxplots
svypredmeans Predictive marginal means
with.svyimputationList Analyse multiple imputations
svyquantile Quantiles for sample surveys
as.fpc Package sample and population size data
as.svrepdesign Convert a survey design to use replicate weights
dimnames.DBIsvydesign Dimensions of survey designs
election US 2004 presidential election data at state or county level
marginpred Standardised predictions (predictive margins) for regression models.
mu284 Two-stage sample from MU284 Subset of survey
confint.svyglm Confidence intervals for regression parameters
crowd Household crowding
surveyoptions Options for the survey package
svy.varcoef Sandwich variance estimator for glms
surveysummary Summary statistics for sample surveys
svyCprod Computations for survey variances
yrbs One variable from the Youth Risk Behaviors Survey, 2015.
open.DBIsvydesign Open and close DBI connections
svydesign Survey sample analysis.
paley Paley-type Hadamard matrices
svyfactanal Factor analysis in complex surveys (experimental).
svytable Contingency tables for survey data
svykappa Cohen's kappa for agreement
svykm Estimate survival function.
svyciprop Confidence intervals for proportions
svymle Maximum pseudolikelihood estimation in complex surveys
svystandardize Direct standardization within domains
svysurvreg Fit accelerated failure models to survey data
svyranktest Design-based rank tests
svyratio Ratio estimation
svyolr Proportional odds and related models
svyrecvar Variance estimation for multistage surveys
svyttest Design-based t-test
trimWeights Trim sampling weights
svysmooth Scatterplot smoothing and density estimation
twophase Two-phase designs Add variables to a survey design
as.svydesign2 Update to the new survey design format
SE Extract standard errors
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License GPL-2 | GPL-3
NeedsCompilation no
Packaged 2019-04-27 01:13:02 UTC; tlumley
Repository CRAN
Date/Publication 2019-04-27 05:00:04 UTC

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