mySquareEM: A function for estimating parameters using Squared EM...

In HiLDA: Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation

Description

A function for estimating parameters using Squared EM algorithm

Usage

mySquareEM(p, y, tol = 1e-04, maxIter = 10000)

Arguments

p	this variable includes the parameters for mutation signatures and membership parameters
y	this variable includes the information on the mutation features, the number of mutation signatures specified and so on
tol	tolerance for the estimation (when the difference of log-likelihoods become below this value, stop the estimation)
maxIter	the maximum number of iteration of estimation

Value

a list

HiLDA documentation built on Nov. 8, 2020, 11:09 p.m.