sample_X: Sample hidden states

In Cronjaeger/HotBirdHMM: Find Recombination Hoitspots using a Hidden Markov Model

Description

Sample X consequtive states from the hidden markov model

Usage

sample_X(sample_X0, L, Px)

Arguments

sample_X0	A prior distribution on X0; sample_X0() should return an integer in the range 1:(dim(Px)[1]); e.g. “function() sample(M,1)” for a uniform distribution on 1:M or “function() i” for a point mass at i.
L	the length of the desired sequence of samples
Px	The transition rates of the markov chain X to be sampled from.

Value

A vector of samples from X of length L.

Cronjaeger/HotBirdHMM documentation built on May 9, 2019, 6:01 p.m.