Package: modgo
Type: Package
Title: Mock Data Generation
Version: 1.0.1
Date: 2024-08-21
Maintainer: Georgios Koliopanos <george.koliopanos@cardio-care.ch>
Description: 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.
Authors@R: c(person(given = "Andreas",
                      family = "Ziegler",
                      role = "aut"),
               person(given = c("Francisco", "Miguel"),
                      family = "Echevarria",
                      role = "aut"),
               person(given = "Georgios",
                      family = "Koliopanos",
                      role = "cre",
                      email = "george.koliopanos@cardio-care.ch"))
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
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
NeedsCompilation: no
Packaged: 2024-09-09 11:33:55 UTC; geokolcc
Author: Andreas Ziegler [aut],
  Francisco Miguel Echevarria [aut],
  Georgios Koliopanos [cre]
Repository: CRAN
Date/Publication: 2024-09-11 16:20:02 UTC
Built: R 4.3.3; ; 2024-09-11 17:14:06 UTC; unix
