LM_RIDGE_MIN

FRESA wrapper to fit <code><a href="/link/MASS%3A%3Alm.ridge?package=FRESA.CAD&version=3.4.7" data-mini-rdoc="FRESA.CAD::MASS::lm.ridge">MASS::lm.ridge</a></code> object to the data and returning the coef with minimum GCV

Model_Generation

Contains a set of utilities for building and testing statistical models (linear, logistic,ordinal or COX) for Computer Aided Diagnosis/Prognosis applications. Utilities include data adjustment, univariate analysis, model building, model-validation, longitudinal analysis, reporting and visualization.

Jose Tamez-Pena

FRESA.CAD

Feature Selection Algorithms for Computer Aided Diagnosis

LM_RIDGE_MIN function

<dl>	<dt>formula</dt>
<dd>The base formula to extract the outcome</dd>	<dt>data</dt>
<dd>The data to be used for training the method</dd>	<dt>...</dt>
<dd>Parameters to be passed to the MASS::lm.ridge function</dd></dl>

Arguments

Author

FRESA wrapper to fit <code><a href='https://rdrr.io/pkg/MASS/man/lm.ridge.html'>MASS::lm.ridge</a></code> object to the data and returning the coef with minimum GCV

Ridge Linear Models — LM_RIDGE_MIN

<dl>

	<dt>formula</dt>
<dd>The base formula to extract the outcome</dd>

	<dt>data</dt>
<dd>The data to be used for training the method</dd>

	<dt>...</dt>
<dd>Parameters to be passed to the MASS::lm.ridge function</dd>

</dl>

LM_RIDGE_MIN: Ridge Linear Models

Description

Usage

Value

Arguments

Author

See Also