modelAveMu: Calculate model averaged estimates of state-specific means...

In lvhoskovec/psbpHMM: Covariate-dependent iHMMs for multiple time series

Description

Calculate model averaged estimates of state-specific means from a PSBP iHMM fit using the psbpHMM package

Usage

modelAveMu(fit, zbest1, ymatrix)

Arguments

fit	object of type "ihmm"
zbest1	a list of optimal clustering of hidden states
ymatrix	matrix of exposure data for all time series, with n*T rows and p columns

Value

a list with components

• mu_ma: posterior mean of model-averaged state-specific means

• mu_lwr: .025 quantile of posterior distribution of model-averaged state-specific means

• mu_upr: .975 quantile of posterior distribution of model-averaged state-specific means

• exp_lwr: minimum empirical data for each exposure within each state

• exp_upr: maximum empirical data for each exposure within each state

lvhoskovec/psbpHMM documentation built on Feb. 13, 2022, 10:40 p.m.