sampling: Survey Sampling

Functions to draw random samples using different sampling schemes are available. Functions are also provided to obtain (generalized) calibration weights, different estimators, as well some variance estimators.

Version: 2.9
Imports: MASS, lpSolve
Published: 2021-01-13
Author: Yves Tillé, Alina Matei
Maintainer: Alina Matei <alina.matei at unine.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: OfficialStatistics
CRAN checks: sampling results

Downloads:

Reference manual: sampling.pdf
Vignettes: Horvitz-Thompson estimator and Hajek estimator
UP - unequal probability sampling designs
calibration and adjustment for nonresponse
Package source: sampling_2.9.tar.gz
Windows binaries: r-devel: sampling_2.9.zip, r-devel-UCRT: sampling_2.9.zip, r-release: sampling_2.9.zip, r-oldrel: sampling_2.9.zip
macOS binaries: r-release (arm64): sampling_2.9.tgz, r-release (x86_64): sampling_2.9.tgz, r-oldrel: sampling_2.9.tgz
Old sources: sampling archive

Reverse dependencies:

Reverse depends: ArrayExpressHTS, ForImp, R2BEAT, RcmdrPlugin.sampling, samplingbook
Reverse imports: bootstrapFP, DIDmultiplegt, diproperm, DriveML, Frames2, jipApprox, mrMLM, mrMLM.GUI, natstrat, NonProbEst, pRoloc, RRTCS, SmartEDA, Sofi, SpotSampling, SSP, StratifiedSampling
Reverse suggests: gustave, mlfit, PracTools, simFrame, simPop, surf, svydiags, WaveSampling, wrswoR

Linking:

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