SteppedPower (version 0.3.4)

construct_CovBlk: Construct a Single Block of the Covariance Matrix

Description

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.

Usage

construct_CovBlk(sigma, tau = NULL, eta = NULL, AR = NULL, rho = NULL)

Value

a block of a covariance matrix, corresponding to intra-cluster covariance over time for one cluster

Arguments

sigma

numeric (vector of length `timepoints`), residual error

tau

numeric (vector of length `timepoints`), standard deviation of random intercepts

eta

numeric (vector of length `timepoints`), standard deviation of random slope

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`!=0 !*

rho

numeric (scalar), correlation of `tau` and `eta`. The default is no correlation.

Examples

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))