vcov.Wald_lmm: Extract the Variance-Covariance Matrix From Wald Tests For...

In bozenne/repeated: Repeated Measurement Models for Discrete Times

Extract the Variance-Covariance Matrix From Wald Tests For Linear Mixed Model

Description

Extract the variance-covariance matrix of the linear contrasts involved in the Wald test.

Usage

## S3 method for class 'Wald_lmm'
vcov(object, effects = "Wald", df = FALSE, transform.names = TRUE, ...)

Arguments

object	a Wald_lmm object.
effects	[character vector] should the variance-covariance of the linear contrasts involved in the Wald test be output ("Wald"), or of the linear mixed model parameters ("all")? Can also contain "gradient" to also output the gradient of the Variance-Covariance matrix.
df	[logical] Should degrees-of-freedom, computed using Satterthwaite approximation, for the model parameters be output?
transform.names	[logical] Should the name of the coefficients be updated to reflect the transformation that has been used?
...	Not used. For compatibility with the generic method.

Value

A matrix with one column and column per parameter.

• df=TRUE: with an attribute "df" containing a numeric vector with one element per parameter.
  

• effects includes "gradient": with an attribute "gradient" containing a 3 dimensional array with dimension the number of parameters.

bozenne/repeated documentation built on July 16, 2025, 11:16 p.m.