autoplot.tdmore: Automatically plot a tdmorefit object

In tdmore-dev/tdmore: In silico evaluation of precision dosing

Description

The variable plotted on the y-axis is the first column with residual error that is available in the predicted result. You can easily influence this by providing a 'newdata' argument.

Usage

## S3 method for class 'tdmorefit'
autolayer(
  x,
  color = "tomato1",
  fill = color,
  alpha = 0.2,
  se.fit = T,
  level = 0.95,
  ...,
  na.rm = TRUE
)

## S3 method for class 'tdmore'
autoplot(x, regimen = NULL, covariates = NULL, newdata = NULL, ...)

Arguments

x	a tdmore object
color	color to use for the line
fill	fill color to use for the ribbon
alpha	alpha level for the ribbon
se.fit	plot a confidence band around the prediction?
level	level for the confidence band
...	extra arguments
na.rm	should NA be removed
regimen	the regimen
covariates	the covariates
newdata	passed to 'predict'

tdmore-dev/tdmore documentation built on Jan. 1, 2022, 3:21 a.m.