summary.stdGlm: Summarizes GLM regression standardization fit
In stdReg: Regression Standardization

summary.stdGlm

R Documentation

Summarizes GLM regression standardization fit

This is a summary method for class "stdGlm".

## S3 method for class 'stdGlm'
summary(object, CI.type = "plain", CI.level = 0.95,
  transform = NULL, contrast = NULL, reference = NULL, ...)

`object`	an object of class `"stdGlm"`.
`CI.type`	string, indicating the type of confidence intervals. Either "plain", which gives untransformed intervals, or "log", which gives log-transformed intervals.
`CI.level`	desired coverage probability of confidence intervals, on decimal form.
`transform`	a string. 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`	a string. 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.
`reference`	must be specified if `contrast` is specified.
`...`	not used.