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