lrt_nlmm function

Likelihood Ratio Test for Generalized Laplace Mixed-Effects Models

This function is used to perform a likelihood ratio test for two fitted generalized Laplace mixed-effects models.

lrt_nlmm(object0, object1)
## S3 method for class 'lrt_nlmm'
print(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

• object0: object of class nlmm with estimates of the constrained model.
• object1: object of class nlmm with estimates of the unconstrained model.
• x: a lrt_nlmm object.
• digits: a non-null value for digits specifies the minimum number of significant digits to be printed in values.
• ...: not used.

Note

The function lrt_nlmm is a wrapper for routines developed by Alessio Farcomeni.

Returns

An object of class lrt_nlmm is a list containing the following components:

• statistic: the value of the test statistic

• p.value: the p-value of the test

• df: either the degrees of freedom of a chi-squared test or the weights of a chi-bar-squared test

• V: the matrix based on which the weights for the chi-bar-squared test are calculated

• alpha: values of the shape parameter in the constrained object

• alpha.index: index of the constrained shape parameter

• chibar: logical flag. If TRUE, the test statistic is a chi-bar

References

Geraci, M. and Farcomeni A. (2020). A family of linear mixed-effects models using the generalized Laplace distribution. Statistical Methods in Medical Research, 29(9), 2665-2682.

Author(s)

Marco Geraci and Alessio Farcomeni

See Also

nlmm