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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 |
| DOI: | 10.32614/CRAN.package.sgr |
| 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 |
| Reference manual: | sgr.pdf |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.