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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=modgo to link to this page.
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