construct_CovBlk: construct_CovBlk

In PMildenb/SteppedPower:

Description

constructs the covariance matrix for multiple measurements of one cluster

Usage

construct_CovBlk(timepoints, sigma, tau)

Arguments

timepoints	numeric (scalar), number of timeperiods, Cl.e. dimension of blocks in covariance matrix
sigma	numeric (scalar or vector of length timepoints), residual error (usually of cluster means)
tau	numeric (scalar or vector of length timepoints), standard deviation of random intercepts, A vector of length *timepoints* is interpreted as a variing sd over time (also used for binomial outcomes).

Value

a block of a covariance matrix

Examples

construct_CovBlk(timepoints=5, sigma=2, tau=2)

PMildenb/SteppedPower documentation built on Dec. 7, 2018, 7:59 a.m.