glmResp

lmerResp

lmResp

nlsResp

The generator objects for the
 <code>lmResp</code>,
 <code>lmerResp</code>,
 <code>glmResp</code> and
 <code>nlsResp</code> reference classes. Such
 objects are primarily used through their <code>new</code>
 methods.

classes

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

Ross D. Boylan

lmResp function

<dl> <dt>...</dt>
<dd>List of arguments (see Note).</dd></dl>

Arguments

<dl>
<dt><code>new(y=y)</code>:</dt>
<dd>Create a new
 <code>lmResp</code> or
 <code>lmerResp</code> object.</dd> <dt><code>new(family=family, y=y)</code>:</dt>
<dd>Create a new
 <code>glmResp</code> object.</dd> <dt><code>new(y=y, nlmod=nlmod, nlenv=nlenv,
	pnames=pnames, gam=gam)</code>:</dt>
<dd>Create a new
 <code>nlsResp</code> object.</dd>
 
</dl>

Methods

Generator objects for the response classes — lmResp

<dl>

 <dt>...</dt>
<dd>List of arguments (see Note).</dd>

</dl>

<dl>
<dt><code>new(y=y)</code>:</dt>
<dd>Create a new
 <code>lmResp</code> or
 <code>lmerResp</code> object.</dd>

 <dt><code>new(family=family, y=y)</code>:</dt>
<dd>Create a new
 <code>glmResp</code> object.</dd>

 <dt><code>new(y=y, nlmod=nlmod, nlenv=nlenv,
	pnames=pnames, gam=gam)</code>:</dt>
<dd>Create a new
 <code>nlsResp</code> object.</dd>
 
</dl>

Generator objects for the response classes

lmResp: Generator objects for the response classes

Description

Usage

Arguments

Methods

See Also