Package: CoImp 2.2
Francesca Marta Lilja Di Lascio
CoImp: Parametric and Nonparametric Copula-Based Imputation Methods
Copula-based imputation methods: parametric and nonparametric algorithms for missing multivariate data through conditional copulas.
Authors:
CoImp_2.2.tar.gz
CoImp_2.2.tar.gz(r-4.7-any)CoImp_2.2.tar.gz(r-4.6-any)
CoImp_2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:0f807cf15f. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 130 | ||
| source / vignettes | OK | 156 | ||
| linux-release-x86_64 | OK | 124 | ||
| wasm-release | OK | 109 |
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 |
| Nonparametric 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 |