Package: CoImp 2.0.1
Francesca Marta Lilja Di Lascio
CoImp: Parametric and Non-Parametric Copula-Based Imputation Methods
Copula-based imputation methods: parametric and non-parametric algorithms for missing multivariate data through conditional copulas.
Authors:
CoImp_2.0.1.tar.gz
CoImp_2.0.1.tar.gz(r-4.5-noble)CoImp_2.0.1.tar.gz(r-4.4-noble)
CoImp_2.0.1.tgz(r-4.4-emscripten)CoImp_2.0.1.tgz(r-4.3-emscripten)
CoImp.pdf |CoImp.html✨
CoImp/json (API)
| # Install 'CoImp' in R: |
| install.packages('CoImp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 days agofrom:8adab657e4. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 10 2024 |
| R-4.5-linux | OK | Sep 10 2024 |
Exports:CoImpMARMCARNPCoImpPerfMeasureplotshow
Dependencies:ADGofTestclustercolorspacecopulagslgtoolslatticelocfitMatrixmvtnormnnetnumDerivpcaPPpsplinestabledist
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Copula-Based Imputation Method | CoImp |
| Class "CoImp" | CoImp-class plot,CoImp,missing-method show,CoImp-method |
| Generation of multivariate missing at random (MAR) data | MAR |
| Class "MAR" | MAR-class |
| Generation of multivariate MCAR data | MCAR |
| Class "MCAR" | MCAR-class |
| Non-Parametric Copula-Based Imputation Method | NPCoImp |
| Class "NPCoImp" | NPCoImp-class show,NPCoImp-method |
| Performance measures for evaluating the goodness of an imputed database | PerfMeasure |
| Class "PerfMeasure" | PerfMeasure-class show,PerfMeasure-method |