ugrpl-methods: Methods for 'ugrpl' objects

In rdmatheus/ugrpl: Unit Gamma Regression with Parametric Link Functions for Modeling Rates and Proportions

Methods for 'ugrpl' objects

Description

Methods for 'ugrpl' objects

Usage

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

## S3 method for class 'ugrpl'
model.matrix(object, model = c("mean", "dispersion"), ...)

## S3 method for class 'ugrpl'
coef(object, model = c("full", "mean", "dispersion"), ...)

## S3 method for class 'ugrpl'
vcov(object, model = c("full", "mean", "dispersion", "lambda"), ...)

## S3 method for class 'ugrpl'
logLik(object, ...)

## S3 method for class 'ugrpl'
AIC(object, ..., k = 2)

## S3 method for class 'ugrpl'
print(x, digits = getOption("digits"), ...)

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

## S3 method for class 'summary.ugrpl'
print(x, digits = getOption("digits"), ...)

Arguments

formula	a model formula or terms object or an R object.
...	further arguments passed to or from other methods.
model	a character indicating which parameter coefficients are required, parameters for the "mean" or for the "dispersion" model. If "full" (default), a list with coefficients for the mean and for the dispersion model is returned.
k	numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC.
x, object	an object of class ugrpl.
digits	a non-null value for digits specifies the minimum number of significant digits to be printed in values. The default, getOption("digits").

Author(s)

Rodrigo M. R. de Medeiros <[e-mail]>

rdmatheus/ugrpl documentation built on July 13, 2024, 10:24 p.m.