Mean sojourn times from an msmbayes model

Usage

mean_sojourn(draws, new_data = NULL, states = "obs", keep_covid = FALSE)

Arguments

draws

Object returned by msmbayes.

new_data

Data frame with covariate values to predict for

states

If states="obs" (or "observed") then this describes mean sojourn times in the observable states. For phase-type models this is not generally equal to the sum of the phase-specific mean sojourn times, because an individual may transition out of the state before progressing to the next phase.

If states="phase" (or "true", or "latent") then for phase-type models, this describes mean sojourn times in the latent state space.

keep_covid

(logical) Keep the integer column covid identifying unique covariate combinations.

Value

A data frame containing samples from the posterior distribution. See qdf for notes on this format and how to summarise.