fitGMM: Fitting Gaussian Mixture Models

In GESTr: Gene Expression State Transformation

Description

Fit Gaussian Mixture Model to a vector of gene expression data values.

Usage

fitGMM(exprVals,RDparameters,rejectNull=0.05)

Arguments

exprVals	A numeric vector of expression values for one gene
RDparameters	A list of Rocke-Durbin error model parameters, generated by the fitRockeDurbin function
rejectNull	Numeric value specifying significance level for rejecting null hypothesis that the expression values arise from a single value and expected errors

Details

Uses Mclust to fit a Gaussian Mixture Model (with an unspecified number of components) to a vector of expression values for one gene across a dataset. Required to create models used by GESTr.

Value

An object of class Mclust

Author(s)

Ed Curry [e-mail]

Examples

### internal function ###

Example output

Loading required package: mclust
Package 'mclust' version 5.3
Type 'citation("mclust")' for citing this R package in publications.
Loading required package: gtools

GESTr documentation built on May 2, 2019, 9:37 a.m.