simdata: Generate Simulated Datasets (original) (raw)
Generate simulated datasets from an initial underlying distribution and apply transformations to obtain realistic data. Implements the 'NORTA' (Normal-to-anything) approach from Cario and Nelson (1997) and other data generating mechanisms. Simple network visualization tools are provided to facilitate communicating the simulation setup.
| Version: | 0.4.1 |
|---|---|
| Imports: | Matrix, mvtnorm, igraph (≥ 1.2.1) |
| Suggests: | doParallel, doRNG, dplyr, fitdistrplus, forcats, ggplot2, GGally, ggcorrplot, knitr, patchwork, purrr, reshape2, rmarkdown, NHANES, testthat (≥ 2.1.0) |
| Published: | 2024-12-03 |
| DOI: | 10.32614/CRAN.package.simdata |
| Author: | Michael Kammer |
| Maintainer: | Michael Kammer <michael.kammer at meduniwien.ac.at> |
| BugReports: | https://github.com/matherealize/simdata/issues |
| License: | GPL-3 |
| URL: | https://matherealize.github.io/simdata/,https://github.com/matherealize/simdata |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | simdata results |
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