s_1: Get s matrix for first moments of complete data sufficient...

In cthmm: Latent Continuous Time Markov Chains

Description

This functions gets the s_k(x_k,x_k+1) function for the recursive smoothing algorithm.

Usage

  s_1(stat_table, num_states, obs_data, time_diffs,
    rate_eigen, exact_time_ranks, absorb_state,
    trans_probs_list)

Arguments

stat_table	table with sufficient statistic information (need to run suff.stat.table)
obs_data	obseved data
time_diffs	t2-t1, t3-t2,...,tn-t_n-1
num_states	number of hidden states
trans_probs_list	list with the transition probabilities for the individual

Value

s array( dim(num_states, num_states,num.times,num.stats)

cthmm documentation built on May 2, 2019, 5:46 p.m.