vcovFixed function

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

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

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

Returns

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

Details

The variance-covariance matrix of fixed effects for a linear mixed model corresponds to matrix $(X'V"X)`$, where >$'$< denotes the transpose operator, >$"$< the regular matrix inverse, and >$`$< the generalized (Moore-Penrose) inverse of a matrix.

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)