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survey (version 4.1-1)

Analysis of Complex Survey Samples

Description

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.

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Version

Install

install.packages('survey')

Monthly Downloads

51,853

Version

4.1-1

License

GPL-2 | GPL-3

Maintainer

Last Published

July 19th, 2021

Functions in survey (4.1-1)

Student performance in California schools

Extract standard errors

Compute replicate weights

Update to the new survey design format

Package sample and population size data

barplot.svystat

Barplots and Dotplots

Compute survey bootstrap weights

Wrappers for specifying PPS designs

Convert a survey design to use replicate weights

Model comparison for glms.

Small survey example

dimnames.DBIsvydesign

Dimensions of survey designs

Estimated weights for missing data

Lay out tables of survey statistics

Hadamard matrices

open.DBIsvydesign

Open and close DBI connections

compressWeights

Compress replicate weight matrix

Calibration (GREG) estimators

Deprecated implementation of quantiles

Household crowding

Cholesterol data from a US survey

Standardised predictions (predictive margins) for regression models.

Confidence intervals for regression parameters

Experimental: Construct non-response weights

Paley-type Hadamard matrices

Distribution of quadratic forms

Two-stage sample from MU284

Sample of obstetric hospitals

Take a stratified sample

Raking of replicate weight design

Calibration metrics

Pseudo-Rsquareds

poisson_sampling

Specify Poisson sampling design

US 2004 presidential election data at state or county level

Options for the survey package

Wald test for a term in a regression model

subset.survey.design

Subset of survey

Post-stratify a survey

Survival in cardiac arrest

Summary statistics for sample surveys

Confidence intervals for proportions

Contingency tables for survey data

Survey statistics on subsets

Cumulative Distribution Function

Conditioning plots of survey data

Linear and nonlinearconstrasts of survey statistics

Sandwich variance estimator for glms

Computations for survey variances

Estimate survival function.

Cohen's kappa for agreement

Compute variance from replicates

Specify survey design with replicate weights

Survey-weighted Cox models.

Test of fit to known probabilities

Factor analysis in complex surveys (experimental).

Survey sample analysis.

Survey-weighted generalised linear models.

Cronbach's alpha

Quantile-quantile plots for survey data

Two-stage least-squares for instrumental variable regression

Histograms and boxplots

Predictive marginal means

Sampling-weighted principal component analysis

Loglinear models

Compare survival distributions

Quantiles under complex sampling.

Probability-weighted nonlinear least squares

Maximum pseudolikelihood estimation in complex surveys

Design-based t-test

Trim sampling weights

Scatterplot smoothing and density estimation

Variance estimation for multistage surveys

Two-phase designs

update.survey.design

Add variables to a survey design

One variable from the Youth Risk Behaviors Survey, 2015.

Fit accelerated failure models to survey data

Proportional odds and related models

Direct standardization within domains

weights.survey.design

Survey design weights

Plots for survey data

Compute variances by replicate weighting

Ratio estimation

Design-based rank tests

withPV.survey.design

Analyse plausible values in surveys

with.svyimputationList

Analyse multiple imputations