Description Usage Arguments Details Value Supported models Available methods Examples References See Also
View source: R/adj_loglik_methods.R
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 functionspecific help pages.
1  adj_loglik(x, cluster = NULL, use_vcov = TRUE, use_mle = TRUE, ...)

x 
A supported fitted model object, see Supported models 
cluster 
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 
use_vcov 
A logical scalar. By default, the 
use_mle 
A logical scalar. By default, the MLE from 
... 
Further arguments to be passed to 
If use_vcov = TRUE
, the current default, the function will test
whether a vcov
S3 method exists for x
, and will take the
variancecovariance matrix from there. Otherwise, or if use_vcov = FALSE
the variancecovariance matrix of the MLE is estimated inside
chandwich::adjust_loglik()
using stats::optimHess()
.
An object of class "chantrics"
inheriting from class "chandwich"
.
See the documentation provided with chandwich::adjust_loglik()
.
glm
glm.nb
"chantrics"
objects have the following methods available to them:
AIC
anova
alrtest
 Adjusted Likelihood ratio tests
coef
lmtest::coeftest
 \(z\) tests for all
coefficients
confint
and plot.confint
 confidence intervals for
all coefficients, and diagnostics plots for confint()
.
conf_intervals
 enhanced confidence
interval reports
conf_region
 twodimensional confidence
regions
df.residual
fitted
logLik
logLik_vec
nobs
plot
predict
print
residuals
summary
terms
vcov
See the modelspecific 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 usersupplied objects.
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