Package: sgr 1.3.1
Massimiliano Pastore
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:
sgr_1.3.1.tar.gz
sgr_1.3.1.tar.gz(r-4.5-noble)sgr_1.3.1.tar.gz(r-4.4-noble)
sgr_1.3.1.tgz(r-4.4-emscripten)sgr_1.3.1.tgz(r-4.3-emscripten)
sgr.pdf |sgr.html✨
sgr/json (API)
NEWS
| # Install 'sgr' in R: |
| install.packages('sgr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:d1df917678. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-linux | OK | Oct 26 2024 |
Exports:amsearbdgBetadgBetaDmodel.fake.parpartition.replacementpfakepfakebadpfakegoodrdatagenrdatareplreplacement.matrix
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Average root mean square error | amse |
| Average relative bias | arb |
| Generalized Beta Distribution. | dgBeta |
| Generalized Beta distribution for discrete variables | dgBetaD |
| Internal function. | model.fake.par |
| Internal function. | partition.replacement |
| Probability of faking. | pfake |
| Probability of faking bad. | pfakebad |
| Probability of faking good. | pfakegood |
| Data set | psydata |
| Simulate discrete data. | rdatagen |
| Random replacements of data. | rdatarepl |
| Replacement matrix. | replacement.matrix |
| Data set | smokers |