survey: analysis of complex survey samples

Summary statistics, two-sample 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. Predictive margins by direct standardization. PPS sampling without replacement. Principal components, factor analysis.

Version: 3.28-1
Depends: R (≥ 2.10.0)
Suggests: foreign, survival, MASS, splines, KernSmooth, hexbin, mitools, lattice, RSQLite, RODBC, quantreg, Matrix, multicore, CompQuadForm
Enhances: odfWeave.survey
Published: 2012-05-24
Author: Thomas Lumley
Maintainer: Thomas Lumley <tlumley at u.washington.edu>
License: GPL-2 | GPL-3
URL: http://faculty.washington.edu/tlumley/survey/
Citation: survey citation info
In views: OfficialStatistics, SocialSciences, Survival
CRAN checks: survey results

Downloads:

Package source: survey_3.28-1.tar.gz
MacOS X binary: survey_3.28-1.tgz
Windows binary: survey_3.28-1.zip
Reference manual: survey.pdf
Vignettes: Estimates in subpopulations
Two-phase designs in epidemiology
Obsolete formulas for two-phase variances
Analysing PPS designs
A survey analysis example
News/ChangeLog:NEWS
Old sources: survey archive

Reverse dependencies:

Reverse depends: ICS, ipw, MNM, odfWeave.survey, relaimpo, samplingbook, SDaA, StatMatch, twang
Reverse suggests: car, GB2, Zelig
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