reweightPred

reweightPred-methods

reweightPred,dPredModule,matrix,numeric-method

reweightPred,sPredModule,matrix,numeric-method

Update any internal structures associated with sqrtXwt and the
 weighted residuals. The "V" matrix is evaluated from X using the
 sqrtXwt matrix and a Vtr vector is calculated.

methods

regression

Generalized Linear Modelling with sparse and dense 'Matrix' matrices, using
modular prediction and response module classes.

Martin Maechler

MatrixModels

Modelling with Sparse and Dense Matrices

Douglas Bates

reweightPred function

<dl> <dt>predM</dt>
<dd>a predictor module</dd> <dt>sqrtXwt</dt>
<dd>the sqrtXwt matrix</dd> <dt>wtres</dt>
<dd>the vector of weighted residuals</dd> <dt>...</dt>
<dd>potentially further arguments used in methods; not used
 currently.</dd></dl>

Arguments

<dl>
 <dt><code>signature(predM = "dPredModule", sqrtXwt = "matrix",
	wtres = "numeric")</code></dt>
<dd>..</dd> <dt><code>signature(predM = "sPredModule", sqrtXwt = "matrix",
	wtres = "numeric")</code></dt>
<dd>..</dd> 
</dl>

Methods

Reweight Prediction Module Structure Internals — reweightPred

<dl>

 <dt>predM</dt>
<dd>a predictor module</dd>

 <dt>sqrtXwt</dt>
<dd>the sqrtXwt matrix</dd>

 <dt>wtres</dt>
<dd>the vector of weighted residuals</dd>

 <dt>...</dt>
<dd>potentially further arguments used in methods; not used
 currently.</dd>

</dl>

<dl>
 <dt><code>signature(predM = "dPredModule", sqrtXwt = "matrix",
	wtres = "numeric")</code></dt>
<dd>..</dd>

 <dt><code>signature(predM = "sPredModule", sqrtXwt = "matrix",
	wtres = "numeric")</code></dt>
<dd>..</dd>

 
</dl>

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reweightPred: Reweight Prediction Module Structure Internals

Description

Usage

Value

Arguments

Methods

Examples