plot_drc: Create Plot of a DRC Model

In maomlab/BayesPharma: Tools for Bayesian Analysis of Non-Linear Pharmacology Models

Create Plot of a DRC Model

Description

Create Plot of a DRC Model

Usage

plot_drc(
  model,
  newdata = NULL,
  predict_args = list(interval = "prediction"),
  aes_mapping = ggplot2::aes(x = .data[["log_dose"]], y = .data[["response"]]),
  title = NULL
)

Arguments

model	drc::drm model object generated with drc::drm()
newdata	data.frame where the predictions should be made. Default: use the range of treatment values in the model object.
predict_args	list of arguments passed to predict(model, ...) including interval will generate ribbon of the given type, see drc::predict.drc() for more details.
aes_mapping	⁠[ggplot2::aes](...)⁠ mapping columns of the model data and new data to the plot. (Default: ⁠ggplot2::aes](x = log_dose, y = response)⁠)
title	character giving the plot title

maomlab/BayesPharma documentation built on Aug. 24, 2024, 8:45 a.m.