reg-methods: Methods for objects of class "reg"

In leeper/reggie: Stata-like Regression Functionality

Description

Methods for common modelling generics

Usage

## S3 method for class 'reg'
anova(object, ...)

## S3 method for class 'reg'
case.names(object, ...)

## S3 method for class 'reg'
coef(object, ...)

## S3 method for class 'reg'
deviance(object, ...)

## S3 method for class 'reg'
df.residual(object, ...)

## S3 method for class 'reg'
formula(x, ...)

## S3 method for class 'reg'
model.frame(formula, ...)

## S3 method for class 'reg'
nobs(object, ...)

## S3 method for class 'reg'
plot(x, ...)

## S3 method for class 'reg'
predict(object, ...)

## S3 method for class 'reg'
print(x, ...)

## S3 method for class 'reg'
residuals(object, ...)

## S3 method for class 'reg'
simulate(object, ...)

## S3 method for class 'reg'
summary(object, ...)

## S3 method for class 'reg'
terms(x, ...)

## S3 method for class 'reg'
variable.names(object, ...)

## S3 method for class 'reg'
vcov(object, ...)

## S3 method for class 'reg'
weights(object, ...)

Arguments

object	the same
...	Additional arguments passed to methods. In the case of print, this is passed through to printCoefmat.
x	An object returned by reg
formula	the same
model	the same

Details

These functions simply provide a convenience wrapper allowing for code of the form predict(mod) rather than predict(mod$model). These functions per se do nothing directly.

Value

An object returned by the underlying method

leeper/reggie documentation built on May 12, 2019, 12:31 a.m.