survey (3.22-3)
analysis of complex survey samples.
http://faculty.washington.edu/tlumley/survey/
http://cran.r-project.org/web/packages/survey
Summary statistics, 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.
Maintainer:
Thomas Lumley
Author(s): Thomas Lumley
License: GPL-2 | GPL-3
Uses: KernSmooth, Matrix, RODBC, RSQLite, lattice, mitools, quantreg, survival, hexbin, multicore, MASS
Enhances: odfWeave.survey
Reverse depends: ICS, ipw, MNM, odfWeave.survey, relaimpo, samplingbook, SDaA, surveyNG, twang
Reverse suggests: Zelig
Released 26 days ago.
8 previous versions
- survey_3.22-2. Released 4 months ago.
- survey_3.21. Released 6 months ago.
- survey_3.20. Released 7 months ago.
- survey_3.18. Released 12 months ago.
- survey_3.17. Released 12 months ago.
- survey_3.16.
- survey_3.8-1. Released over 9 years ago.
- survey_3.6-13. Released over 9 years ago.
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Reviews
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Ready for production use
I use the survey package to calculate weighted estimates for complex surveys. It does all the things I expect it to do, including making use of oth…
s195404 gave survey (3.21) a 4. Read the full review.
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Visit survey on R Graphical Manual.
