vcov.rbindWald_lmm: Extract the Variance-Covariance From Wald Tests For Linear...

In bozenne/repeated: Repeated Measurement Models for Discrete Times

Extract the Variance-Covariance From Wald Tests For Linear Mixed Models

Description

Extract the variance-covariance matrix from Wald tests applied to a linear mixed models.

Usage

## S3 method for class 'rbindWald_lmm'
vcov(
  object,
  effects = "Wald",
  method = "none",
  df = FALSE,
  ordering = NULL,
  transform.names = TRUE,
  simplify = TRUE,
  ...
)

Arguments

object	a rbindWald_lmm object.
effects	[character] should the linear contrasts involved in the Wald test be output ("Wald"), or the value of the linear mixed model parameters ("all")? Can also contain "gradient" to also output the gradient of the Variance-Covariance matrix.
method	[character vector] type of adjustment for multiple comparisons across the linear contrasts (one of "none", "bonferroni", ..., "single-step2"). Only relevant when effects = "Wald".
df	[logical] Should degrees-of-freedom, computed using Satterthwaite approximation, for the model parameters be output?
ordering	[character] should the output be ordered by name of the linear contrast ("contrast") or by model ("model").
transform.names	[logical] Should the name of the coefficients be updated to reflect the transformation that has been used? Only relevant when effects="all".
simplify	[logical] should the output be a vector or a list with one element specific to each possible ordering (i.e. contrast or model).
...	Not used. For compatibility with the generic method.

Value

A matrix with one column and column per parameter.

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