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MCMC Plots Implemented in bayesplot

Source: R/plot.R
mcmc_plot.brmcoda.Rd

Call MCMC plotting functions implemented in the bayesplot package.

Usage

# S3 method for class 'brmcoda'
mcmc_plot(object, ...)

Arguments

object

A brmcoda class object.

...

Further arguments passed to mcmc_plot.brmsfit.

Value

A ggplot object that can be further customized using the ggplot2 package.

See also

mcmc_plot.brmsfit

Examples

if (FALSE) { # \dontrun{
cilr <- complr(data = mcompd, sbp = sbp,
        parts = c("TST", "WAKE", "MVPA", "LPA", "SB"), idvar = "ID")

# model with compositional predictor at between and within-person levels
fit <- brmcoda(complr = cilr,
               formula = Stress ~ bilr1 + bilr2 + bilr3 + bilr4 +
                                 wilr1 + wilr2 + wilr3 + wilr4 + (1 | ID),
               chain = 1, iter = 500)
mcmc_plot(fit)
} # }