This function adjusts the loglikelihood of fitted model objects based on Chandler and Bate (2007). It is a generic function for different types of models, which are listed in Supported models. This section also contains links to function-specific help pages.
A supported fitted model object, see Supported models
A vector or factor indicating the cluster the corresponding
loglikelihood contribution belongs to. It is required to have the same
length as the vector returned by
A logical scalar. By default, the
A logical scalar. By default, the MLE from
Further arguments to be passed to
use_vcov = TRUE, the current default, the function will test
vcov S3 method exists for
x, and will take the
variance-covariance matrix from there. Otherwise, or if
use_vcov = FALSE
the variance-covariance matrix of the MLE is estimated inside
An object of class
"chantrics" inheriting from class
See the documentation provided with
"chantrics" objects have the following methods available to them:
alrtest - Adjusted Likelihood ratio tests
lmtest::coeftest - \(z\) tests for all
plot.confint - confidence intervals for
all coefficients, and diagnostics plots for
conf_intervals - enhanced confidence
conf_region - two-dimensional confidence
See the model-specific pages in the supported models section.
R. E. Chandler and S. Bate, Inference for clustered data using the independence loglikelihood, Biometrika, 94 (2007), pp. 167–183. doi: 10.1093/biomet/asm015.
lax::alogLik() supports adjustment for user-supplied objects.
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