HMM: Container for the segmented data and the 6-state HMM model...

In rscharpf/VanillaICE: A Hidden Markov Model for high throughput genotyping arrays

Description

The contructor HMM creates and object of class HMM. Not typically called directly by the user.

Usage

HMM(granges = GRanges(), param = HmmParam(), posterior = matrix(),
  filters = FilterParam())

## S4 method for signature 'HMM'
state(object)

## S4 method for signature 'HMM'
show(object)

Arguments

granges	a GRanges object
param	a HmmParam object
posterior	matrix of posterior probabilities
filters	an object of class FilterParam
object	a HMM object

Slots

granges

a GRanges object

param

a HmmParam object

posterior

a matrix of posterior probabilities

filters

a FilterParam object

See Also

hmm2

Examples

data(snp_exp)
hmm_list <- hmm2(snp_exp[,1])
resultsFirstSample <- hmm_list[[1]]
resultsFirstSample
HMM()

rscharpf/VanillaICE documentation built on May 15, 2019, 5:51 p.m.