ForwardLinear: Adapted Forward Algorithm

Description Usage Arguments Value

View source: R/EM.R

Description

Adapted forward that incorporates partially observed data. Partial data is resolved in linear time.

Usage

1
ForwardLinear(data, time, init, tran, class, max2, max3)

Arguments

data

two dimensional matrix for individual. 1st dimension is time 2nd is partially observed data

time

what time to caluclate for. Works recursivly, if time = t calculates for all values less than t

init

initial probabilities

tran

transition probabilities

class

classification probabilities

max2

number of values the second test can take on

max3

number of values the third test can take on

Value

list (each individual) of list (each time) of list (each partially observed data) of vector (forward probabilities)


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