Plot of Posterior Model Fit Draws — posterior_draws

A plot of a sample of model fit draws from the posterior distribution from the expected mean and median quantile intervals.

Usage

posterior_draws_plot(
  model,
  newdata = NULL,
  n = 50,
  point_size = 0.75,
  jitter_height = 0,
  jitter_width = 0,
  title = "Dose-Response Posterior Draws",
  xlab = "Log[Molar]",
  ylab = "Response"
)

Arguments

model: brmsfit model.
newdata: data.frame of newdata to use for predictions. Default data.frame with each predictor and log-dose.
n: numeric value of the number of draws to be observed (default = 50).
point_size: numeric. geom_jitter point size (default = 0.75).
jitter_height: numeric. the height distance between overlapping points (default = 0).
jitter_width: numeric. the width distance between overlapping points (default = 0).
title: character name for the plot (default = "Dose-Response Posterior Draws").
xlab: character name for the x-axis label (default = "Log[Molar]").
ylab: character name for the y-axis label (default = "Response").

Value

ggplot2::ggplot object.

Examples

if (FALSE) {
  # Consider a model named my_model and data named my_data with a column
  # named predictors containing multiple different perturbations.
  posterior_draws_plot(
    model = my_model,
    newdata = my_data,
    predictors_col_name = "predictors",
    lower = -12,
    upper = -3,
    n = 50,
    facet_var = predictors,
    jitter_width = 0.10,
    title = "Dose-Response Posterior Draws",
    xlab = "Log[Molar]",
    ylab = "Response")
}