InitMu: Preprocessing - Initialize state specific mean vector

In iBATCGH: Integrative Bayesian Analysis of Transcriptomic and CGH Data

Description

Initializes the state specific mean vector, by sampling each element independently from its prior, i.e. truncated normal distribution..

Usage

InitMu(deltak = c(-1, 0, 0.58, 1), tauk = c(1, 1, 1, 2),
low_bounds = c(-Inf, -0.1, 0.1, 0.73), upp_bounds = c(-0.1, 0.1, 0.73, Inf))

Arguments

deltak	Vector of means of the truncated Normal distributions
tauk	Vector of standard deviations of the truncated Normal distributions
low_bounds	Vector of lower bounds of the truncated Normal distributions
upp_bounds	Vector of upper bounds of the truncated Normal distributions

Value

A vector of state specific mean, that could be used as input of the main function.

Author(s)

Alberto Cassese

References

Guha S, Li Y, Neuberg D. Bayesian hidden Markov modelling of array cgh data. JASA. 2008;103(482):485-497.

Examples

mu <- InitMu()

iBATCGH documentation built on Oct. 23, 2020, 6:34 p.m.