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Plot prior vs posterior distribution

Source: R/stan_nma-class.R
plot_prior_posterior.Rd

Produce plots comparing the prior and posterior distributions of model parameters.

Usage

plot_prior_posterior(
  x,
  ...,
  prior = NULL,
  post_args = list(),
  prior_args = list(),
  overlay = c("prior", "posterior"),
  ref_line = NA_real_
)

Arguments

x

A stan_nma object

...

Additional arguments passed on to methods

prior

Character vector selecting the prior and posterior distribution(s) to plot. May include "intercept", "trt", "het", "reg", "aux", "class_mean" or "class_sd" as appropriate.

post_args

List of arguments passed on to ggplot2::geom_histogram to control plot output for the posterior distribution

prior_args

List of arguments passed on to ggplot2::geom_path to control plot output for the prior distribution. Additionally, n controls the number of points the density curve is evaluated at (default 500), and p_limits controls the endpoints of the curve as quantiles (default c(.001, .999)).

overlay

String, should prior or posterior be shown on top? Default "prior".

ref_line

Numeric vector of positions for reference lines, by default no reference lines are drawn

Value

A ggplot object.

Details

Prior distributions are displayed as lines, posterior distributions are displayed as histograms.

Examples

## Smoking cessation NMA
# \donttest{
# Run smoking RE NMA example if not already available
if (!exists("smk_fit_RE")) example("example_smk_re", run.donttest = TRUE)
# }
# \donttest{
# Plot prior vs. posterior, by default all parameters are plotted
plot_prior_posterior(smk_fit_RE)


# Plot prior vs. posterior for heterogeneity SD only
plot_prior_posterior(smk_fit_RE, prior = "het")


# Customise plot
plot_prior_posterior(smk_fit_RE, prior = "het",
                     prior_args = list(colour = "darkred", size = 2),
                     post_args = list(alpha = 0.6))

# }