mkVarCorr

scale factor (residual standard deviation).

cnms

numeric vector: number of terms in each RE component.

theta vector (lower-triangle of Cholesky factors).

theta

component names (FIXME: nms/cnms redundant:
  nms=names(cnms)?)

Make variance and correlation matrices from <code>theta</code>

Fit linear and generalized linear mixed-effects models.
The models and their components are represented using S4 classes and
methods.  The core computational algorithms are implemented using the
'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".

Ben Bolker

lme4

Linear Mixed-Effects Models using 'Eigen' and S4

mkVarCorr: Make Variance and Correlation Matrices from

Description

Usage

Arguments

Value

See Also