TeachingSampling: Selection of Samples and Parameter Estimation in Finite Population

Allows the user to draw probabilistic samples and make inferences from a finite population based on several sampling designs.

Version: 4.1.1
Depends: R (≥ 3.5), dplyr, magrittr
Published: 2020-04-21
DOI: 10.32614/CRAN.package.TeachingSampling
Author: Hugo Andres Gutierrez Rojas
Maintainer: Hugo Andres Gutierrez Rojas <hagutierrezro at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: TeachingSampling results


Reference manual: TeachingSampling.pdf


Package source: TeachingSampling_4.1.1.tar.gz
Windows binaries: r-devel: TeachingSampling_4.1.1.zip, r-release: TeachingSampling_4.1.1.zip, r-oldrel: TeachingSampling_4.1.1.zip
macOS binaries: r-release (arm64): TeachingSampling_4.1.1.tgz, r-oldrel (arm64): TeachingSampling_4.1.1.tgz, r-release (x86_64): TeachingSampling_4.1.1.tgz, r-oldrel (x86_64): TeachingSampling_4.1.1.tgz
Old sources: TeachingSampling archive

Reverse dependencies:

Reverse depends: samplesize4surveys
Reverse imports: GFE, sglg, sregsurvey
Reverse suggests: BayesSampling


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