diag.BMRMM: MCMC Diagnostic Plots for Transition Probabilities and...

In BMRMM: An Implementation of the Bayesian Markov (Renewal) Mixed Models

MCMC Diagnostic Plots for Transition Probabilities and Duration Times

Description

Provides the traceplots and autocorrelation plots for (i) transition probabilities and (ii) mixture gamma shape and rate parameters.

Usage

diag.BMRMM(object, cov.combs = NULL, transitions = NULL, components = NULL)

Arguments

object	an object of class BMRMM
cov.combs	a list of covariate level combinations. Default is NULL, which is all possible combination of covariate levels.
transitions	a list of pairs denoting state transitions. Default is NULL, which is all possible state transitions.
components	a numeric vector denoting the mixture components of interest. Default is NULL, which is a list of all mixture components.

Value

None

Examples

results <- BMRMM(foxp2sm, num.cov = 2, simsize = 80, 
                 duration.distr = list('mixgamma',shape=rep(1,3),rate=rep(1,3)))
diag.BMRMM(results)
diag.BMRMM(results, cov.combs = list(c(1,1),c(1,2)), 
           transitions = list(c(1,1)), components = c(3))

BMRMM documentation built on July 9, 2023, 7:37 p.m.