survey (3.18)

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.

Maintainer: Thomas Lumley
Author(s): Thomas Lumley

License: GPL-2 | GPL-3

Uses: KernSmooth, Matrix, RODBC, RSQLite, lattice, mitools, quantreg, survival, hexbin, multicore
Enhances: odfWeave.survey
Reverse depends: CalibrateSSB, cjoint, ICS, ipw, lavaan.survey, mapStats, MNM, MOJOV, odfWeave.survey, pedgene, relaimpo, samplingbook, SDaA, skatMeta, sptm, ssfit, StatMatch, surveyNG, twang, VIMGUI, weightTAPSPACK
Reverse suggests: BIFIEsurvey, car, GB2, grattan, inca, inctools, ipw, jtools, logmult, MonetDBLite, PracTools, psidR, Qtools, RDS, SDaA, sjlabelled, sjPlot, sjstats, survival, SvyNom, Zelig
Reverse enhances: prediction, stargazer, texreg

Released over 8 years ago.