sgr: Sample Generation by Replacement

Sample Generation by Replacement simulations (SGR; Lombardi & Pastore, 2014; Pastore & Lombardi, 2014). The package can be used to perform fake data analysis according to the sample generation by replacement approach. It includes functions for making simple inferences about discrete/ordinal fake data. The package allows to study the implications of fake data for empirical results.

Version: 1.3.1
Depends: MASS
Suggests: polycor
Published: 2022-04-14
Author: Massimiliano Pastore & Luigi Lombardi
Maintainer: Massimiliano Pastore <massimiliano.pastore at unipd.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: sgr citation info
Materials: NEWS
CRAN checks: sgr results

Documentation:

Reference manual: sgr.pdf

Downloads:

Package source: sgr_1.3.1.tar.gz
Windows binaries: r-devel: sgr_1.3.1.zip, r-release: sgr_1.3.1.zip, r-oldrel: sgr_1.3.1.zip
macOS binaries: r-release (arm64): sgr_1.3.1.tgz, r-oldrel (arm64): sgr_1.3.1.tgz, r-release (x86_64): sgr_1.3.1.tgz, r-oldrel (x86_64): sgr_1.3.1.tgz
Old sources: sgr archive

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