VCA (version 1.5.1)

vcovFixed: 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)

Value

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

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.

Examples

if (FALSE) {
data(dataEP05A2_1)
fit1 <- anovaMM(y~day/(run), dataEP05A2_1)
vcov(fit1)

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