View source: R/construct_CovMat.R
construct_CovBlk | R Documentation |
Constructs the covariance matrix
for multiple measurements of the same cluster.
This function is usually called by construct_CovMat
and is
not designed to be used directly.
construct_CovBlk(sigma, tau = NULL, eta = NULL, AR = NULL, rho = NULL)
sigma |
numeric (vector of length |
tau |
numeric (vector of length |
eta |
numeric (vector of length |
AR |
numeric, vector containing up to three values, each between 0 and 1.
Defaults to NULL. It defines the AR(1)-correlation of random effects.
The first element corresponds to the cluster intercept, the second to the
treatment effect and the third to subject specific intercept.
If only one element is provided, autocorrelation of all random effects is
assumed to be the same.
Currently not compatible with |
rho |
numeric (scalar), correlation of |
a block of a covariance matrix, corresponding to intra-cluster covariance over time for one cluster
construct_CovBlk(sigma=rep(2,5), tau=rep(1,5))
construct_CovBlk(sigma=rep(2,5),
tau=rep(.5,5), eta=c(0,0,1,1,1),
AR=c(.5, 1))
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