Creates posterior density plots of MCMC samples.

Usage

density_plots(model, parameters)

Arguments

model: Model output.
parameters: Vector of parameters to create density plots for.

Value

List of ggplot density plots.

Examples

configured_data_path <- system.file("extdata", "configured_data.Rds", package = "metainsight")
configured_data <- readRDS(configured_data_path)

# n_adapt and n_iter are set low to run quickly, but should be left as the
# default values in real use

fitted_bayes_model <- bayes_model(configured_data = configured_data,
                                  n_adapt = 100,
                                  n_iter = 100)

mcmc <- bayes_mcmc(model = fitted_bayes_model)

density_plots(fitted_bayes_model$mtcResults, mcmc$parameters)
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#> `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

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#> `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

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#> `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

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#> `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

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