simdata: Generate Simulated Datasets

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

Documentation:

Reference manual:	simdata.pdf
Vignettes:	simdata: A package for creating simulated datasets (source, R code) simdata: NORTA based simulation designs (source, R code) simdata: Technical documentation (source, R code)

Downloads:

Package source:	simdata_0.4.1.tar.gz
Windows binaries:	r-devel: simdata_0.4.1.zip, r-release: simdata_0.4.1.zip, r-oldrel: simdata_0.4.1.zip
macOS binaries:	r-release (arm64): simdata_0.4.1.tgz, r-oldrel (arm64): simdata_0.4.1.tgz, r-release (x86_64): simdata_0.4.1.tgz, r-oldrel (x86_64): simdata_0.4.1.tgz
Old sources:	simdata archive

Reverse dependencies:

Reverse imports:

easySimData

Linking:

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