find.param.three: Yields output when there are 3 underlying states

In snapCGH: Segmentation, normalisation and processing of aCGH data

Description

This function provides the output (means/variances, transition matrix, likelihood) when the heterogeneous HMM is fitted with three underlying states. It is a workhorse of the process.data function.

Usage

find.param.three(output.optim,var.fixed)

Arguments

output.optim	The output from fitting a heterogeneous HMM when there are four underlying states
var.fixed	Logical variable - TRUE if you want the variances to be tied across states. Defaults to FALSE

Value

This function outputs the state means/variances, transition matrices, rate parameters, maximised likelihood and convergence information provided by fitting a heterogeneous HMM with three underlying states.

Author(s)

John Marioni

snapCGH documentation built on Nov. 8, 2020, 5:31 p.m.