Generate Simulated Datasets R package simdata version 0.4.1 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. Software 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) Michael Kammer <michael.kammer@meduniwien.ac.at> Comprehensive R Archive Network (CRAN) Michael Kammer [aut, cre] (ORCID: <https://orcid.org/0000-0003-4821-9928>) GPL-3 2024-12-03 application/tgz https://CRAN.R-project.org/package=simdata doi:10.32614/CRAN.package.simdata