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survey (version 2.0)

analysis of complex survey samples

Description

Summary statistics, generalised linear models, and general maximum pseudolikelihood estimation for stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights

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Version

Install

install.packages('survey')

Monthly Downloads

73,193

Version

2.0

License

LGPL

Maintainer

Thomas Lumley

Last Published

March 20th, 2024

Functions in survey (2.0)

svrVar

Compute variance from replicates

rake

Raking of survey design

svrepdesign

Specify survey design with replicate weights

svydesign

Survey sample analysis.

svy.varcoef

Sandwich variance estimator for glms

postStratify

Post-stratify a replicate weight survey

api

Student performance in California schools

svyglm

Survey-weighted generalised linear models.

Summary statistics for sample surveys

weights.survey.design

Survey design weights

as.svrepdesign

Convert a survey design to use replicate weights

update.survey.design

Add variables to a survey design

svyCprod

Computations for survey variances

svycoxph

Survey-weighted generalised linear models.

brrweights

Compute replicate weights

withReplicates

Compute variances by replicate weighting

regTermTest

Wald test for a term in a regression model

svyratio

Ratio estimation

svymle

Maximum pseudolikelihood estimation in complex surveys

hospital

Sample of obstetric hospitals

fpc

Small survey example

scd

Survival in cardiac arrest