Package: GMCM 1.4.1

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]

# Install 'GMCM' in R:

install.packages('GMCM', repos = c('https://aebilgrau.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

Datasets:

On CRAN:

Last updated 3 years agofrom:dce017d7be. Checks:ERROR: 1 WARNING: 8. Indexed: yes.

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

Help page	Topics
Fast optimization of Gaussian Mixture Copula Models	GMCM-package GMCM
Coerce a list to a theta object	as.theta
Heuristically chosen starting value of theta	choose.theta
Classify observations	classify
Row and column standard deviations	colSds colsds rowSds rowsds
Multivariate Gaussian density and simulation	dmvnormal rmvnormal
EM algorithm for Gaussian mixture models	EMAlgorithm
Estimate GMCM parameters of the general model	fit.full.GMCM fit.full.gmcm fit.general.GMCM fit.general.gmcm
Estimate GMCM parameters of the special model	fit.meta.GMCM fit.meta.gmcm fit.special.GMCM fit.special.gmcm
Reproducibility between Fresh and Frozen B-cell subtypes	freshVsFrozen
Convert between parameter formats	full2meta meta2full
Posterior class probabilities, local, and adjusted IDRs.	get.IDR get.idr get.prob
Goodness of fit for the general GMCM	goodness.of.fit
Check if parameters are valid	is.theta
Plotting method for "theta" objects	plot.theta
Print method for theta class	print.theta
Get random parameters for the Gaussian mixture (copula) model	rtheta
Run the GMCM shiny application	runGMCM
Simulation from Gaussian mixture (copula) models	SimulateGMCMData SimulateGMMData
Summary method for theta class	summary.theta
Reproducibility between U133 plus 2 and Exon microarrays	u133VsExon
Fast ranking function	Uhat