stdReg2 (version 1.0.3)

plot.std_glm: Plots regression standardization fit

Description

This is a plot method for class "std_glm".

Usage

# S3 method for std_glm
plot(
  x,
  plot_ci = TRUE,
  ci_type = "plain",
  ci_level = 0.95,
  transform = NULL,
  contrast = NULL,
  reference = NULL,
  summary_fun = "summary_std_glm",
  ...
)

Value

None. Creates a plot as a side effect

Arguments

x

An object of class "std_glm".

plot_ci

if TRUE, add the confidence intervals to the plot.

ci_type

A string, indicating the type of confidence intervals. Either "plain", which gives untransformed intervals, or "log", which gives log-transformed intervals.

ci_level

Coverage probability of confidence intervals.

transform

If set to "log", "logit", or "odds", the standardized mean \(\theta(x)\) is transformed into \(\psi(x)=\log\{\theta(x)\}\), \(\psi(x)=\log[\theta(x)/\{1-\theta(x)\}]\), or \(\psi(x)=\theta(x)/\{1-\theta(x)\}\), respectively. If left unspecified, \(\psi(x)=\theta(x)\).

contrast

If set to "difference" or "ratio", then \(\psi(x)-\psi(x_0)\) or \(\psi(x) / \psi(x_0)\) are constructed, where \(x_0\) is a reference level specified by the reference argument. If not NULL, a doubly robust estimator of the standardized estimator is used.

reference

If contrast is specified, the desired reference level.

summary_fun

For internal use only. Do not change.

...

Unused.

Examples

# see standardize_glm