GibbsSamplerHMRF: Gibbs Sampler for Hidden Markov Random Field model.

Description Usage Arguments

View source: R/GibbsSamplerHMRF.R

Description

Gibbs Sampler for Hidden Markov Random Field model.

Usage

1
GibbsSamplerHMRF(Y, gModel, imu, isigma2, iseg, coeftab, size = 10000)

Arguments

Y

The observed values (matrix).

gModel

a GibbsModel object.

imu

a vector indicating initial mean values.

iseg

initial segmentation.

isigma

a vector indicating initial SD values.

X

a matrix with n (number of observations) rows and p (number of fourier basis functions) columns. Use DeisgnMat() with the result of betaPLS() to obtain this matrix.


VicFreguglia/GibbsRF documentation built on Oct. 25, 2019, 11:19 p.m.