survey (3.34)

12 users

Analysis of Complex Survey Samples.

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, numDeriv, survival, DBI, KernSmooth, RODBC, RSQLite, foreign, mitools, quantreg, hexbin, MASS, CompQuadForm
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, broom, car, GB2, ggeffects, grattan, hutils, inca, inctools, ipw, jtools, logmult, MonetDBLite, PracTools, psidR, Qtools, RDS, SDaA, sjlabelled, sjPlot, sjstats, survival, SvyNom, WeightIt, Zelig
Reverse enhances: margins, prediction, stargazer, texreg

Released 2 months ago.

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Related packages: rms, boot, Hmisc, gss, locfit, MatchIt, mice, mitools, mix, multcomp, nlme, pan, quantreg, survival, BMA, MCMCglmm, VGAM, Amelia, lme4, mi(20 best matches, based on common tags.)

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Visit survey on R Graphical Manual.