Transition probabilities from an msmbayes model, presented as a tidy data frame

Transition probabilities from an msmbayes model, presented as a tidy data frame

Usage

pmatrixdf(draws, t = 1, new_data = NULL, states = "obs")

Arguments

draws

Object returned by msmbayes.

t

prediction time or vector of prediction times

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.

Value

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

For phase-type models, if states="obs", so that we want transition probabilities on the observable space, this returns the probability of transition to any phase of each "destination" state, for an individual who is in the first phase of each "starting" state.