combine_posterior_chains: Combine the posterior distributions of two models into one...

In JasperHG90/sleepsimReval: Evaluation functions for my simulation study

Description

This function is used to combine the posterior distributions of two models.

Usage

combine_posterior_chains(mod_res)

Arguments

mod_res

list containing two mHMM_cont models.

Value

List containing combined posterior distribution for the following variables:

• emiss_mu_barbetween-subject means of the emission distributions.

• emiss_varmu_barbetween-subject variances of the emission distributions.

• emiss_var_barresidual variances of the emission distributions. (assumed fixed across individuals).

• gamma_int_barintercept of the linear predictors for the transition probabilities.

• gamma_prob_bargamma_int_bar transformed by the multinomial logistic regression formula.

• PD_subjsubject-specific state-dependent emission distribution means for each subject.

• gamma_int_subjsubject-specific intercepts of the linear predictor for the transition probabilities.

• gamma_prob_subjgamma_int_subj transformed by the multinomial logistic regresion formula.

JasperHG90/sleepsimReval documentation built on May 16, 2020, 2:35 a.m.