indivLogLiks: Calculate individual log-likelihood values

In davidaarmstrong/ClarkeTest: Distribution-Free Tests of Non-Nested Models

Calculate individual log-likelihood values

Description

Calculate individual log-likelihood values

Usage

indivLogLiks(model)

## S3 method for class 'glm'
indivLogLiks(model)

## S3 method for class 'lm'
indivLogLiks(model)

## S3 method for class 'orlm'
indivLogLiks(model)

## S3 method for class 'polr'
indivLogLiks(model)

## S3 method for class 'clm'
indivLogLiks(model)

## S3 method for class 'multinom'
indivLogLiks(model)

## S3 method for class 'negbin'
indivLogLiks(model)

Arguments

model

A statistical model object.

Details

The indivLogLiks function calls the appropriate method for calculating individual log likelihood values for the model. The function currently supports binomial, poisson and negative binomial GLMs, ordinal models estimated with either polr from the MASS package or clm from the ordinal package and multinomial models estimated with either multinom from the nnet package. Users can also write new methods for both indivLogLiks and nparams that would get called by the generic function.

For the purposes of the clarke_test function, the indivLogLiks functions are not intended to be called directly by the user.

Value

A vector of individual log-likelihood values for the model.

davidaarmstrong/ClarkeTest documentation built on May 17, 2024, 1:49 p.m.