Create a plot of the prior & posterior density distributions of modeled parameters from brmsfit model

Plot of the prior and posterior density distributions of each parameter from brmsfit model. The prior and posterior density distributions will be displayed on the same plot and color labeled.

Usage

prior_posterior_densities_plot(
  model,
  predictors_col_name = "_Intercept",
  half_max_label = "ec50",
  title_label = "Prior Posterior Density\n  Plots"
)

Arguments

model

brmsfit model.

predictors_col_name

string expression for predictors column in the input data.frame (default = "_Intercept"). Predictors are the perturbations tested during the experiment (i.e. Drug, Temperature, etc.).

half_max_label

string of the label for the half maximal that fits the type of experiment that was done (i.e. ec50, ic50, ed50, id50, ld50, etc.).

title_label

string of the plot title. (default = "Prior Posterior Density Plots")

Value

ggplot2::ggplot object.

Examples

if (FALSE) {
  prior_posterior_densities_plot(
    model = my_sigmoid_model,
    predictors_col_name = "predictors",
    half_max_response = "ic50",
    title_label = "Prior Posterior Density Plots")
}