lrt_nlmm {nlmm}

Likelihood Ratio Test for Generalized Laplace Mixed-Effects Models

Description

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

Usage

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.

Value

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

Note

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

Author(s)

Marco Geraci and Alessio Farcomeni

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.

See Also

nlmm