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.
- Version1.0.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- modgo citation info
- Last release09/11/2024
Documentation
Team
Georgios Koliopanos
Andreas Ziegler
Show author detailsRolesAuthorFrancisco Miguel Echevarria
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- Imports11 packages
- Suggests2 packages