extractStruct: Extracting models' structures

In varTestnlme: Variance Components Testing for Linear and Nonlinear Mixed Effects Models

Extracting models' structures

Description

Functions extracting the structure of the models under both hypothesis: the number of fixed and random effects, the number of tested fixed and random effects, and the residual dimension, as well as the random effects covariance structure

Usage

extractStruct(m1, m0, randm0)

Arguments

m1	the model under H1
m0	the model under H0
randm0	a boolean stating whether the model under H0 contains any random effect

Value

A list with the following components:

detailStruct	a data frame containing the list of the parameters and whether they are tested or not
nameVarTested	the name of the variance components being tested
nameFixedTested	the name of the fixed effects being tested
dims	a list with the dimensions of fixed and random effects, tested or not tested
structGamma	the structure of the covariance matrix of the random effects diag, full or blockDiag

varTestnlme documentation built on Sept. 22, 2023, 5:13 p.m.