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

Documentation:

Reference manual:

TeachingSampling.html , TeachingSampling.pdf

Downloads:

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

Linking:

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