mv_gmm: Gaussian mixture model fitting

In benja0x40/Tightrope: ChIP-seq normalization according to background reads density

Description

Gaussian mixture model fitting

Usage

mv_gmm(x, ns, epsilon = 0.001, max_iter = 100)

Arguments

x	numeric matrix representing multivariate data where rows = observations and columns = samples or conditions.
ns	number of models to be fitted
epsilon	to be implemented
max_iter	maximum number of iterations (default = 100)

Value

mv_gmm returns a list with the following elements:

theta	list of multivariate distribution parameters
p	vector of probabilities

benja0x40/Tightrope documentation built on May 24, 2019, 1:35 a.m.