Package: MNARclust 1.1.0
Matthieu Marbac
MNARclust: Clustering Data with Non-Ignorable Missingness using Semi-Parametric Mixture Models
Clustering of data under a non-ignorable missingness mechanism. Clustering is achieved by a semi-parametric mixture model and missingness is managed by using the pattern-mixture approach. More details of the approach are available in Du Roy de Chaumaray et al. (2020) <arxiv:2009.07662>.
Authors:
MNARclust_1.1.0.tar.gz
MNARclust_1.1.0.tar.gz(r-4.7-arm64)MNARclust_1.1.0.tar.gz(r-4.7-x86_64)MNARclust_1.1.0.tar.gz(r-4.6-arm64)MNARclust_1.1.0.tar.gz(r-4.6-x86_64)
MNARclust_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MNARclust/json (API)
| # Install 'MNARclust' in R: |
| install.packages('MNARclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- echo - Echocardiogram data set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f8ad70770a. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 126 | ||
| linux-devel-x86_64 | OK | 114 | ||
| source / vignettes | OK | 218 | ||
| linux-release-arm64 | OK | 129 | ||
| linux-release-x86_64 | OK | 113 | ||
| wasm-release | OK | 107 |
Exports:MNARclusterrMNAR
Dependencies:latticeMASSMatrixMatrixModelsmnormtnumDerivquantregRcppRcppArmadillormutilsnSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| MNARclust. | MNARclust-package MNARclust |
| Echocardiogram data set | echo |
| Clustering function | MNARcluster |
| Function used to simulate data from mixture model with specific missingness mechanism | rMNAR |