Learn R Programming
⚠️There's a newer version (1.4) of this package.Take me there.

GMCM (version 1.1.1)

Fast estimation of Gaussian Mixture Copula Models

Description

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

Copy Link

Version

Install

install.packages('GMCM')

Monthly Downloads

709

Version

1.1.1

License

GPL (>= 2)

Issues

23

Pull Requests

0

Stars

15

Forks

3

Maintainer

Anders Ellern Bilgrau

Last Published

October 6th, 2014

Functions in GMCM (1.1.1)

inv.logit

Logit and inverse logit transforms
SimulateGMCMData

Simulation from the Gaussian mixture (copula) model
GMCM-package

Fast optimization of Gaussian Mixture Copula Models
fit.meta.GMCM

Reproducibility/meta analysis using GMCMs
get.IDR

Posterior class propbabilites and local, and adjusted IDR.
inv.tt

Reparametrization of GMCM parameters.
PseudoEMAlgorithm

EM-like algorithm for the GMCM
freshVsFrozen

Reproduciblity between Fresh and Frozen B-cell subtypes
dgmcm.loglik

Probability, density, and likelihood functions of the Gaussian mixture (copula) model
dmvnormal

Multivariate Gaussian probability density function and simulation
rtheta

Get random parameters for the Gaussian mixture (copula) model
u133VsExon

Reproduciblity between U133 plus 2 and Exon microarrays
full2meta

Convert between parameter formats
colSds

Compute row and column standard deviations
EStep

Steps of the EM algorithm for a Gaussian Mixture model
choose.theta

Heuristically chosen starting value of theta
inv.rho.transform

Transformation of the correlation to real line and its inverse
fit.full.GMCM

Unsupervised clustering using a general GMCM
Uhat

Fast ranking function
is.theta

Check if parameters are valid
EMAlgorithm

EM algorithm for Gaussian mixture models
cummean

Cumulative mean values