Package: sgr 1.3.1

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.

Authors:Massimiliano Pastore & Luigi Lombardi

sgr_1.3.1.tar.gz
sgr_1.3.1.zip(r-4.7)sgr_1.3.1.zip(r-4.6)sgr_1.3.1.zip(r-4.5)
sgr_1.3.1.tgz(r-4.6-any)sgr_1.3.1.tgz(r-4.5-any)
sgr_1.3.1.tar.gz(r-4.7-any)sgr_1.3.1.tar.gz(r-4.6-any)
sgr_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sgr/json (API)

# Install 'sgr' in R:
install.packages('sgr', repos = c('https://masspastore.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.51 score 16 scripts 251 downloads 2 mentions 12 exports 1 dependencies

Last updated from:d1df917678. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK136
linux-release-x86_64OK116
macos-release-arm64OK102
macos-oldrel-arm64OK104
windows-develOK74
windows-releaseOK78
windows-oldrelOK67
wasm-releaseOK110

Exports:amsearbdgBetadgBetaDmodel.fake.parpartition.replacementpfakepfakebadpfakegoodrdatagenrdatareplreplacement.matrix

Dependencies:MASS