Plot posterior distributions for BRMA models — plot_sensitivity • pema

To perform a rudimentary sensitivity analysis, plot the posterior distributions of multiple BRMA models and compare them visually.

Usage

plot_sensitivity(..., parameters = NULL, model_names = NULL)

Arguments

...: Objects of class brma. If the argument model_names is NULL, the names of these objects are used to label the plot.
parameters: Optional character vector with the names of parameters that exist in the models in ..., Default: NULL.
model_names: Optional character vector with the names used to label the models in ..., Default: NULL

Value

An object of class ggplot

Examples

plot_sensitivity(samples = list(
data.frame(Parameter = "b",
Value = rnorm(10),
Model = "M1"),
data.frame(Parameter = "b",
Value = rnorm(10, mean = 2),
Model = "M2")),
parameters = "b")