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survey (version 3.12)

analysis of complex survey samples

Description

Summary statistics, generalised linear 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 designs. Graphics.

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Version

Install

install.packages('survey')

Monthly Downloads

64,520

Version

3.12

License

GPL-2 | GPL-3

Maintainer

Thomas Lumley

Last Published

March 22nd, 2009

Functions in survey (3.12)

Experimental: Construct non-response weights

Wald test for a term in a regression model

barplot.svystat

Barplots and Dotplots

Proportional odds and related models

US 2004 presidential election data at state or county level

Calibration metrics

Confidence intervals for regression parameters

Survey statistics on subsets

G-calibration (GREG) estimators

Lay out tables of survey statistics

subset.survey.design

Subset of survey

compressWeights

Compress replicate weight matrix

update.survey.design

Add variables to a survey design

Design-based t-test

open.DBIsvydesign

Open and close DBI connections

Distribution of quadratic forms

Ratio estimation

Survey sample analysis.

Compute variances by replicate weighting

Estimate survival function.

Hadamard matrices

with.svyimputationList

Analyse multiple imputations

Scatterplot smoothing and density estimation

Paley-type Hadamard matrices

Computations for survey variances

Compute survey bootstrap weights

Plots for survey data

Two-phase designs

Estimated weights for missing data

Quantiles for sample surveys

Specify survey design with replicate weights

Convert a survey design to use replicate weights

dimnames.DBIsvydesign

Dimensions of survey designs

Student performance in California schools

weights.survey.design

Survey design weights

Extract standard errors

Summary statistics for sample surveys

Cumulative Distribution Function

Two-stage sample from MU284

Household crowding

Variance estimation for multistage surveys

Sandwich variance estimator for glms

Cohen's kappa for agreement

Maximum pseudolikelihood estimation in complex surveys

Update to the new survey design format

Conditioning plots of survey data

Package sample and population size data

Survey-weighted generalised linear models.

Compute replicate weights

Raking of replicate weight design

Options for the survey package

Histograms and boxplots

Post-stratify a survey

Loglinear models

Confidence intervals for proportions

Survey-weighted Cox models.

Contingency tables for survey data

Linear and nonlinearconstrasts of survey statistics

Compute variance from replicates

Survival in cardiac arrest

Small survey example

Sample of obstetric hospitals