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 |
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