plot.std_surv: Plots regression standardization fit

View source: R/coxph_methods.R

plot.std_survR Documentation

Plots regression standardization fit

Description

This is a plot method for class "std_surv".

Usage

## S3 method for class 'std_surv'
plot(
  x,
  plot_ci = TRUE,
  ci_type = "plain",
  ci_level = 0.95,
  transform = NULL,
  contrast = NULL,
  reference = NULL,
  legendpos = "bottomleft",
  summary_fun = "summary_std_coxph",
  ...
)

Arguments

x

An object of class "std_surv".

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.

legendpos

position of the legend; see legend.

summary_fun

For internal use only. Do not change.

...

Unused.

Value

None. Creates a plot as a side effect


stdReg2 documentation built on April 13, 2025, 5:12 p.m.