Package: modgo 1.0.1
Georgios Koliopanos
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.
Authors:
modgo_1.0.1.tar.gz
modgo_1.0.1.tar.gz(r-4.5-noble)modgo_1.0.1.tar.gz(r-4.4-noble)
modgo_1.0.1.tgz(r-4.4-emscripten)modgo_1.0.1.tgz(r-4.3-emscripten)
modgo.pdf |modgo.html✨
modgo/json (API)
| # Install 'modgo' in R: |
| install.packages('modgo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Cleveland - Cleveland Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 days agofrom:f514a77971. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 12 2024 |
| R-4.5-linux | OK | Sep 12 2024 |
Exports:checkArgumentscorr_plotsdistr_plotsgeneral_transform_invgeneralizedMatrixmodgomodgo_survivalmulticenter_combrbi_normal_transformrbi_normal_transform_inv
Dependencies:cliclustercolorspacecorpcorfansifarverggcorrplotggplot2GLDEXgluegpGPArotationgridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmnormtmunsellmvtnormnlmepatchworkpillarpkgconfigplyrpsychR6RColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratreshape2RfastrlangRNGforGPDscalesspacefillrstringistringrsurvivaltibbleutf8vctrsviridisLitewesandersonwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check Arguments | checkArguments |
| Cleveland Dataset (`Cleveland`) | Cleveland |
| Plots correlation matrix of original and simulated data | corr_plots |
| Plots distribution of original and simulated data | distr_plots |
| Inverse gldex transformation | general_transform_inv |
| Generalized Lambda and Poisson preparation | generalizedMatrix |
| Generate new data set by using previous correlation matrix | generate_simulated_data |
| Inverse transform variables | Inverse_transformation_variables |
| MOck Data GeneratiOn | modgo |
| MOck Data GeneratiOn | modgo_survival |
| Modgo multi-studies | multicenter_comb |
| Rank based inverse normal transformation | rbi_normal_transform |
| Inverse of rank based inverse normal transformation | rbi_normal_transform_inv |
| Calculate Sigma with the help of polychoric and polyserial functions | Sigma_calculation |
| Correlation of transformed variables | Sigma_transformation |
