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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