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 ORCID iD [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_0.4.0.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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