mkVarCorr

Computes from <code>reCovs</code> the variance and correlation components of
 random effect covariance matrices.

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

Douglas Bates

Martin Maechler

Steven Walker

Anna Ly

Mikael Jagan

Rune Haubo Bojesen Christensen

Henrik Singmann

Bin Dai

Fabian Scheipl

Gabor Grothendieck

Peter Green

John Fox

Alexander Bauer

Pavel N. Krivitsky

Emi Tanaka

Ross D. Boylan

Henrik Bengtsson

mkVarCorr function

<dl> <dt>sc</dt>
<dd>a numeric vector of length 1 giving the residual standard
 deviation for LMMs. Set to <code>NULL</code> for GLMMs.</dd> <dt>cnms</dt>
<dd>a list of character vectors giving component dimnames,
 used only to determine <code>nc</code> and <code>nms</code> if those are
 missing.</dd> <dt>nc</dt>
<dd>an integer vector giving component dimensions (number of
 columns).</dd> <dt>theta</dt>
<dd>a numeric vector giving covariance parameters
 (lower triangular entries of relative Cholesky factors in
 column-major order), used only to determine <code>reCovs</code> when
 that is missing.</dd> <dt>nms</dt>
<dd>a character vector giving component names.</dd> <dt>reCovs</dt>
<dd>a list of <code>Covariance</code> objects.</dd> <dt>relReCovs</dt>
<dd>a logical indicating if the components of
 <code>reCovs</code> represent relative covariance matrices (in which case
 they are scaled by <code>sc^2</code>).</dd></dl>

Arguments

Make Variance and Correlation Components of Covariance — mkVarCorr

<dl>

 <dt>sc</dt>
<dd>a numeric vector of length 1 giving the residual standard
 deviation for LMMs. Set to <code>NULL</code> for GLMMs.</dd>

 <dt>cnms</dt>
<dd>a list of character vectors giving component dimnames,
 used only to determine <code>nc</code> and <code>nms</code> if those are
 missing.</dd>

 <dt>nc</dt>
<dd>an integer vector giving component dimensions (number of
 columns).</dd>

 <dt>theta</dt>
<dd>a numeric vector giving covariance parameters
 (lower triangular entries of relative Cholesky factors in
 column-major order), used only to determine <code>reCovs</code> when
 that is missing.</dd>

 <dt>nms</dt>
<dd>a character vector giving component names.</dd>

 <dt>reCovs</dt>
<dd>a list of <code>Covariance</code> objects.</dd>

 <dt>relReCovs</dt>
<dd>a logical indicating if the components of
 <code>reCovs</code> represent relative covariance matrices (in which case
 they are scaled by <code>sc^2</code>).</dd>

</dl>

Make Variance and Correlation Components of Covariance

mkVarCorr: Make Variance and Correlation Components of Covariance

Description

Usage

Value

Arguments

See Also