norm_generate_sample: Generate data from a normal HMM

In simonecollier/lizardHMM: Fitting Lizard Movement Data with HMMs

Description

This function generates data from a normal HMM with specified parameters.

Usage

norm_generate_sample(num_sample, hmm, design, state_dep_dist_pooled = FALSE)

Arguments

num_sample	The size of the desired sample (number of timesteps).
hmm	A list of parameters that specify the normal HMM, including num_states, num_variables, num_subjects, num_covariates, mu, sigma, beta, delta.
design	A list of design matrices for each subject with each row indicating the time and each column indicating the value of the covariate.
state_dep_dist_pooled	A logical variable indiacting whether the state dependent distribution parameters mu and sigma should be treated as equal for all subjects.

Value

A list of the data and the states that generated the data.

simonecollier/lizardHMM documentation built on Dec. 23, 2021, 2:24 a.m.