Package: GMCM 1.4

Anders Ellern Bilgrau

GMCM: Fast Estimation of Gaussian Mixture Copula Models

Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models.

Authors:Anders Ellern Bilgrau [aut, cre, cph], Poul Svante Eriksen [ths, ctb], Martin Boegsted [ths, ctb]

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'))

Peer review:

Bug tracker:https://github.com/aebilgrau/gmcm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • freshVsFrozen - Reproducibility between Fresh and Frozen B-cell subtypes
  • u133VsExon - Reproducibility between U133 plus 2 and Exon microarrays

openblascpp

4.52 score 3 stars 55 scripts 350 downloads 1 mentions 21 exports 3 dependencies

Last updated 5 years agofrom:4554adad96. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-linux-x86_64NOTEDec 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.Rnwusingknitr::knitron Dec 07 2024.

Last update: 2019-11-05
Started: 2015-04-13

GMCM shiny application

Rendered fromusage-shiny-graphical-interface.Rmdusingknitr::rmarkdownon Dec 07 2024.

Last update: 2019-11-05
Started: 2019-11-05

Meta analysis with special GMCMs

Rendered fromusage-example-special-model.Rmdusingknitr::rmarkdownon Dec 07 2024.

Last update: 2019-11-05
Started: 2019-11-05

Unsupervised clustering with general GMCMs

Rendered fromusage-example-general-model.Rmdusingknitr::rmarkdownon Dec 07 2024.

Last update: 2019-11-05
Started: 2019-11-05