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-4.5-noble)GMCM_1.4.tar.gz(r-4.4-noble)
GMCM_1.4.tgz(r-4.4-emscripten)GMCM_1.4.tgz(r-4.3-emscripten)
GMCM.pdf |GMCM.html✨
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 5 years agofrom:4554adad96. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 07 2024 |
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.Rnw
usingknitr::knitr
on Nov 07 2024.Last update: 2019-11-05
Started: 2015-04-13
GMCM shiny application
Rendered fromusage-shiny-graphical-interface.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2019-11-05
Started: 2019-11-05
Meta analysis with special GMCMs
Rendered fromusage-example-special-model.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2019-11-05
Started: 2019-11-05
Unsupervised clustering with general GMCMs
Rendered fromusage-example-general-model.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2019-11-05
Started: 2019-11-05