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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.

Versions across snapshots

VersionRepositoryFileSize
1.0.1 rolling linux/jammy R-4.5 modgo_1.0.1.tar.gz 1.7 MiB
1.0.1 rolling linux/noble R-4.5 modgo_1.0.1.tar.gz 1.7 MiB
1.0.1 rolling source/ R- modgo_1.0.1.tar.gz 1.6 MiB
1.0.1 latest linux/jammy R-4.5 modgo_1.0.1.tar.gz 1.7 MiB
1.0.1 latest linux/noble R-4.5 modgo_1.0.1.tar.gz 1.7 MiB
1.0.1 latest source/ R- modgo_1.0.1.tar.gz 1.6 MiB
1.0.1 2026-04-26 source/ R- modgo_1.0.1.tar.gz 1.6 MiB
1.0.1 2026-04-23 source/ R- modgo_1.0.1.tar.gz 1.6 MiB
1.0.1 2026-04-09 windows/windows R-4.5 modgo_1.0.1.zip 1.7 MiB
1.0.1 2025-04-20 source/ R- modgo_1.0.1.tar.gz 1.6 MiB

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