modgo: Mock Data Generation

Generation of synthetic data from a real dataset using the combination of rank normal inverse transformation with the calculation of correlation matrix <doi:10.1055/a-2048-7692>. Completely artificial data may be generated through the use of Generalized Lambda Distribution and Generalized Poisson Distribution <doi:10.1201/9781420038040>. Quantitative, binary, ordinal categorical, and survival data may be simulated. Functionalities are offered to generate synthetic data sets according to user's needs.

Version:	1.0.1
Depends:	R (≥ 4.1)
Imports:	ggplot2 (≥ 3.4.0), patchwork (≥ 1.1.2), wesanderson (≥ 0.3.6.9000), Matrix (≥ 1.6.1.1), ggcorrplot (≥ 0.1.4.1), gridExtra (≥ 2.3), psych (≥ 2.2.9), GLDEX (≥ 2.0.0.9.2), MASS (≥ 7.3), gp (≥ 1.0), stats, utils, survival
Suggests:	knitr, rmarkdown
Published:	2024-09-11
DOI:	10.32614/CRAN.package.modgo
Author:	Andreas Ziegler [aut], Francisco Miguel Echevarria [aut], Georgios Koliopanos [cre]
Maintainer:	Georgios Koliopanos <george.koliopanos at cardio-care.ch>
License:	GPL-3
NeedsCompilation:	no
Citation:	modgo citation info
Materials:	README
CRAN checks:	modgo results

Documentation:

Reference manual:	modgo.pdf
Vignettes:	Modgo simulation (source, R code)

Downloads:

Package source:	modgo_1.0.1.tar.gz
Windows binaries:	r-devel: modgo_1.0.1.zip, r-release: modgo_1.0.1.zip, r-oldrel: modgo_1.0.1.zip
macOS binaries:	r-release (arm64): modgo_1.0.1.tgz, r-oldrel (arm64): modgo_1.0.1.tgz, r-release (x86_64): modgo_1.0.1.tgz, r-oldrel (x86_64): modgo_1.0.1.tgz

Linking:

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