RewTransform: Discretize MPH object with a reward vector
In aumath-advancedr2019/ticphasetype: Phase-type distributions for bioinformatics

Description Usage Arguments Value Examples

Reward transformation of continuous phase-type distribution into a discrete phase-type distribution.

1	RewTransform(mph_obj, rewards, theta)

`mph_obj`	multivariate phase-type object generated either from mult_phase_type or kingsman function
`rewards`	vector of non negative numbers
`theta`	mutation parameter (positive number)

A list containing keys 'subint_mat', 'init_probs' and 'defect'

n = 5
mphobj = kingsman(n)
reward_length = length(mphobj$init_probs)
transformed = RewTransform(mphobj, 0:(reward_length-1), 2)
transformed$subint_mat