sim_lhmm: Simulating action sequences using LHMM

In proclhmm: Latent Hidden Markov Models for Response Process Data

Simulating action sequences using LHMM

Description

sim_lhmm generate n action sequences from LHMM based on given parameters. The lengths of the generated sequences are simulated from a Poission distribution with mean mean_len and at least min_len. The latent trait is generated from standard normal.

Usage

sim_lhmm(n, paras, min_len, mean_len, return_state = TRUE)

Arguments

n	number of action sequences to be generated
paras	a list containing specified LHMM parameters: para_a, para_b, para_alpha, para_beta, and para_P1.
min_len	minimum length of generated sequences
mean_len	mean length of generated sequences
return_state	logical. Whether generated hidden state sequences should be returned or not.

Value

If return_state = TRUE, sim_hmm returns a list of three elements

seqs	a list of n generated action sequences
theta	latent traits as a vector of length n
state_seqs	a list of n hidden state sequences

If return_state = FALSE, the returned list only contains seqs and theta.

Examples

paras <- sim_lhmm_paras(5,2)
sim_data <- sim_lhmm(20, paras, 4, 10)

proclhmm documentation built on June 22, 2024, 10:02 a.m.