Package: GMCM 1.4
GMCM: Fast Estimation of Gaussian Mixture Copula Models
Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models.
Authors:
GMCM_1.4.tar.gz
GMCM_1.4.tar.gz(r-4.7-arm64)GMCM_1.4.tar.gz(r-4.7-x86_64)GMCM_1.4.tar.gz(r-4.6-arm64)GMCM_1.4.tar.gz(r-4.6-x86_64)
GMCM_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GMCM/json (API)
NEWS
| # Install 'GMCM' in R: |
| install.packages('GMCM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/aebilgrau/gmcm/issues
- freshVsFrozen - Reproducibility between Fresh and Frozen B-cell subtypes
- u133VsExon - Reproducibility between U133 plus 2 and Exon microarrays
Last updated from:4554adad96. Checks:4 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 215 | ||
| linux-devel-x86_64 | NOTE | 179 | ||
| source / vignettes | OK | 325 | ||
| linux-release-arm64 | NOTE | 199 | ||
| linux-release-x86_64 | NOTE | 192 | ||
| wasm-release | OK | 137 |
Exports:as.thetachoose.thetaclassifydmvnormalEMAlgorithmfit.full.GMCMfit.general.GMCMfit.meta.GMCMfit.special.GMCMfull2metaget.IDRget.probgoodness.of.fitis.thetameta2fullrmvnormalrthetarunGMCMSimulateGMCMDataSimulateGMMDataUhat
Dependencies:ellipseRcppRcppArmadillo
An Introduction to GMCM
Rendered fromGMCM-JStatSoft.Rnwusingknitr::knitron Jun 13 2026.Last update: 2019-11-05
Started: 2015-04-13
GMCM shiny application
Rendered fromusage-shiny-graphical-interface.Rmdusingknitr::rmarkdownon Jun 13 2026.Last update: 2019-11-05
Started: 2019-11-05
Meta analysis with special GMCMs
Rendered fromusage-example-special-model.Rmdusingknitr::rmarkdownon Jun 13 2026.Last update: 2019-11-05
Started: 2019-11-05
Unsupervised clustering with general GMCMs
Rendered fromusage-example-general-model.Rmdusingknitr::rmarkdownon Jun 13 2026.Last update: 2019-11-05
Started: 2019-11-05
