Description Usage Arguments Value
View source: R/cappe_first_moment.R
This functions gets the s_k(x_k,x_k+1) function for the recursive smoothing algorithm.
1 2 3 | s_1(stat_table, num_states, obs_data, time_diffs,
rate_eigen, exact_time_ranks, absorb_state,
trans_probs_list)
|
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 |
s array( dim(num_states, num_states,num.times,num.stats)
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