vcovFixed {VCA} | R Documentation |
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)
[Package VCA version 1.5.1 Index]