vcovFixed: Calculate Variance-Covariance Matrix and Standard Errors of...

In VCA: Variance Component Analysis

Calculate Variance-Covariance Matrix and Standard Errors of Fixed Effects for an 'VCA' Object

Description

The variance-covariance matrix of fixed effects for the linear mixed model in 'obj' is calculated.

Usage

vcovFixed(obj, quiet = FALSE)

Arguments

obj	(VCA) object for which the variance-covariance matrix of fixed effects shall be calculated
quiet	(logical) TRUE = will suppress any warning, which will be issued otherwise

Details

The variance-covariance matrix of fixed effects for a linear mixed model corresponds to matrix (X^{T}V^{-1}X)^{-}, where >^{T}< denotes the transpose operator, >^{-1}< the regular matrix inverse, and >^{-}< the generalized (Moore-Penrose) inverse of a matrix.

Value

(matrix) corresponding to the variance-covariance matrix of fixed effects

Examples

## Not run: 
data(dataEP05A2_1)
fit1 <- anovaMM(y~day/(run), dataEP05A2_1)
vcov(fit1)

fit2 <- anovaVCA(y~day/run, dataEP05A2_1)
vcov(fit2)

## End(Not run)

VCA documentation built on May 29, 2024, 1:48 a.m.