survey (3.36)

12 users

Analysis of Complex Survey Samples.

http://r-survey.r-forge.r-project.org/survey/
http://cran.r-project.org/web/packages/survey

Summary statistics, two-sample tests, rank 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. PPS sampling without replacement. Principal components, factor analysis.

Maintainer: "Thomas Lumley"
Author(s): Thomas Lumley

License: GPL-2 | GPL-3

Uses: lattice, Matrix, minqa, mitools, numDeriv, survival, DBI, KernSmooth, RODBC, RSQLite, foreign, quantreg, hexbin, MASS, CompQuadForm
Reverse depends: CalibrateSSB, cjoint, hopit, ICS, ipw, lavaan.survey, mapStats, MedSurvey, MNM, MOJOV, odfWeave.survey, pedgene, relaimpo, sae2, samplingbook, SDaA, skatMeta, sptm, ssfit, StatMatch, surveyNG, svydiags, twang, VIMGUI, weightTAPSPACK
Reverse suggests: BIFIEsurvey, broom, car, finalfit, GB2, ggeffects, grattan, hutils, inca, inctools, insight, interactions, ipw, jtools, logmult, MonetDBLite, parameters, PracTools, psidR, Qtools, rdhs, RDS, SDaA, sirt, sjlabelled, sjPlot, sjstats, survival, SvyNom, WeightIt, Zelig
Reverse enhances: margins, prediction, stargazer, texreg

Released 7 months ago.


37 previous versions

Ratings

Overall:

  3.8/5 (5 votes)

Documentation:

  3.0/5 (3 votes)

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