plot: Plots regression standardization fit
In stdReg2: Regression Standardization for Causal Inference

plot.std_glm

R Documentation

Plots regression standardization fit

Description

This is a plot method for class "std_glm".

Usage

## S3 method for class '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",
  ...
)

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.