bayesplot {bmggum}

bayesian convergence diagnosis plotting function

Description

This function provides plots including density plots, trace plots, and auto-correlation plots to aid model convergence diagnosis.

Usage

bayesplot(x, pars, plot, inc_warmup = FALSE)

Arguments

x

returned object

pars

Names of plotted parameters. They can be "theta", "alpha", "delta", "tau", "cor", "lambda", or a subset of parameters. See vignette for bmggum for more details.

plot

Types of plots.They can be "density", "trace", or "autocorrelation".

inc_warmup

Whether to include warmup iterations or not when plotting. The default is FALSE.

Value

Selected plots for selected parameters

Examples

Data <- c(1,4,2,3)
Data <- matrix(Data,nrow = 2)
deli <- c(1,-1,2,1)
deli <- matrix(deli,nrow = 2)
ind <- c(1,2)
ind <- t(ind)
cova <- c(0.70, -1.25)
mod <- bmggum(GGUM.Data=Data,delindex=deli,trait=2,ind=ind,option=4,covariate=cova,iter=5,chains=1)
bayesplot(mod, 'alpha', 'density', inc_warmup=FALSE)