mkRespMod

Create an lmerResp, glmResp or nlsResp instance

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

Rune Haubo Bojesen Christensen

Henrik Singmann

Bin Dai

Fabian Scheipl

Gabor Grothendieck

Peter Green

John Fox

Alexander Bauer

Pavel N. Krivitsky

Emi Tanaka

Mikael Jagan

mkRespMod function

<dl> <dt>fr</dt>
<dd>a model frame</dd>
 <dt>REML</dt>
<dd>logical scalar, value of REML for an lmerResp
 instance</dd>
 <dt>family</dt>
<dd>the optional glm family (glmResp only)</dd>
 <dt>nlenv</dt>
<dd>the nonlinear model evaluation environment
 (nlsResp only)</dd>
 <dt>nlmod</dt>
<dd>the nonlinear model function (nlsResp only)</dd>
 <dt>...</dt>
<dd>where to look for response information if
 <code>fr</code> is missing. Can contain a model response,
 <code>y</code>, offset, <code>offset</code>, and weights,
 <code>weights</code>.</dd></dl>

Arguments

Create an lmerResp, glmResp or nlsResp instance — mkRespMod

<dl>

 <dt>fr</dt>
<dd>a model frame</dd>


 <dt>REML</dt>
<dd>logical scalar, value of REML for an lmerResp
 instance</dd>


 <dt>family</dt>
<dd>the optional glm family (glmResp only)</dd>


 <dt>nlenv</dt>
<dd>the nonlinear model evaluation environment
 (nlsResp only)</dd>


 <dt>nlmod</dt>
<dd>the nonlinear model function (nlsResp only)</dd>


 <dt>...</dt>
<dd>where to look for response information if
 <code>fr</code> is missing. Can contain a model response,
 <code>y</code>, offset, <code>offset</code>, and weights,
 <code>weights</code>.</dd>

</dl>

Create an lmerResp, glmResp or nlsResp instance

mkRespMod: Create an lmerResp, glmResp or nlsResp instance

Description

Usage

Value

Arguments

See Also