DirichletReg (version 0.6-2)

DirichletRegModel: Methods for the Class DirichletRegModel

Description

These are available methods for the results of Dirichlet regression models and objects of class DirichletRegModel. These methods contain functions for print and summary of the data, generate fitted values and predicting new values using predict. Various types of residuals are implemented and confint can be used to compute confidence intervals of the parameters. Furthermore logLik extracts the log-likelihood of the model and vcov extracts the covariance matrix of the parameter estimates.

Usage

## S3 method for class 'DirichletRegModel':
print(x, digits = max(3, getOption("digits") - 3), \dots)

## S3 method for class 'DirichletRegModel':
summary(object, \dots)

## S3 method for class 'DirichletRegModel':
fitted(object, mu = TRUE, alpha = FALSE, phi = FALSE, \dots)

## S3 method for class 'DirichletRegModel':
predict(object, newdata, mu = TRUE, alpha = FALSE, phi = FALSE, \dots)

## S3 method for class 'DirichletRegModel':
residuals(object, type = c("standardized", "composite", "raw"), \dots)

## S3 method for class 'DirichletRegModel':
confint(object, parm, level, \dots, type=c("all", "beta", "gamma"), exp = FALSE)

## S3 method for class 'DirichletRegConfint':
print(x, digits = 3, \dots)

## S3 method for class 'DirichletRegModel':
logLik(object, \dots)

## S3 method for class 'DirichletRegModel':
AIC(object, \dots, k = 2)

## S3 method for class 'DirichletRegModel':
BIC(object, \dots)

## S3 method for class 'DirichletRegModel':
nobs(object, \dots)

## S3 method for class 'DirichletRegModel':
vcov(object, \dots)

## S3 method for class 'DirichletRegModel':
update(object, formula., \dots, evaluate = TRUE)

## S3 method for class 'DirichletRegModel':
drop1(object, scope, test = c("LRT", "none"), k = 2, \dots)

Arguments

x

an object of class DirichletRegModel

object

an object of class DirichletRegModel or DirichletRegConfint for printing an object obtained by confint.DirichletRegModel

alpha

logical; returns alpha values

mu

logical; returns expected values

phi

logical; returns precision values

type

for residuals: defines the type of residuals to be computed "standardized" (i.e., Pearson), "composite", or "raw" for confint: defines the type of parameter ("all"

newdata

a data.frame containing new observations

k

number for the weighting of parameters

parm

a vector containing names of the parameters to print

level

(a vector of) confidence level(s), defaults to .95

exp

logical; returns parameters in exponentiated form

digits

the number of digits in the output

formula.

the new formula to be updated, see update.Formula

evaluate

if FALSE the updated call will be returned, but not evaluated

scope

defines the scope of variables to be dropped, see drop1

test

defines the type of test for drop1

...

further arguments

encoding

UTF-8

Examples

ALake <- ArcticLake
ALake$AL <- DR_data(ArcticLake[, 1:3])

mod1 <- DirichReg(AL ~ depth + I(depth^2) | depth, data = ALake, model="alternative")

update(mod1, . ~ . | . + I(depth^2), evaluate = FALSE)
mod1

drop1(mod1)   ### issues a caveat when used for the first time in an R session

summary(mod1)

head(fitted(mod1))

predict(mod1, newdata = data.frame("depth" = seq(10, 100, 10)))

head(residuals(mod1))

confint(mod1)
confint(mod1, exp = TRUE)

logLik(mod1)
round(vcov(mod1), 5)