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 [aut, cre] |
| 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 |