CalcClassificationLin: Estimates Classification Probabilities

In jordanaron22/PartiallyObservedHMM: HMM for Partiall Observed Three Diagnostic Test Data

Description

Calculates fourth expectation in section 2.6

Usage

CalcClassificationLin(
  data,
  class,
  freq_vec,
  pi_0,
  forw,
  backw,
  likelihoods,
  max2,
  max3
)

Arguments

data	two dimensional matrix for individual. 1st dimension is time 2nd is partially observed data
class	classification probabilities
freq_vec	frequency vector to go along with data
pi_0	probability of being stayer
forw	forward quantity for each individual
backw	backward quantity for each individual
likelihoods	list of likelihoods for each individual
max2	number of values the second test can take on
max3	number of values the third test can take on

Value

estimates matrix of classification probabilities

jordanaron22/PartiallyObservedHMM documentation built on May 21, 2020, 6:49 p.m.