mat.ncssvar {dae} | R Documentation |
Calculates the variance matrix of the random effects for a
natural cubic smoothing spline. It is the tri-diagonal matrix
\bold{G}_s
given by Verbyla et al., (1999) multiplied by
the variance component for the random spline effects.
mat.ncssvar(sigma2s = 1, knot.points, print = FALSE)
sigma2s |
A |
knot.points |
A |
print |
A |
A matrix
containing the variances and covariances of the
random spline effects.
Chris Brien
Verbyla, A. P., Cullis, B. R., Kenward, M. G., and Welham, S. J. (1999). The analysis of designed experiments and longitudinal data by using smoothing splines (with discussion). Journal of the Royal Statistical Society, Series C (Applied Statistics), 48, 269-311.
Gs <- mat.ncssvar(knot.points = 1:10)