modelFitting

This function fits a linear, logistic, or Cox proportional hazards regression model to given data

Model_Inspection

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

modelFitting function

<dl>	<dt>model.formula</dt>
<dd>An object of class <code>formula</code> with the formula to be used</dd>	<dt>data</dt>
<dd>A data frame where all variables are stored in different columns</dd>	<dt>type</dt>
<dd>Fit type: Logistic ("LOGIT"), linear ("LM"), Cox proportional hazards ("COX") or "SVM"</dd>	<dt>fitFRESA</dt>
<dd>if true it will perform use the FRESA cpp code for fitting</dd>	<dt>...</dt>
<dd>Additional parameters for fitting a default <code>glm</code> object</dd></dl>

Arguments

Jose G. Tamez-Pena and Antonio Martinez-Torteya

Author

Fit a model to the data — modelFitting

<dl>

	<dt>model.formula</dt>
<dd>An object of class <code>formula</code> with the formula to be used</dd>

	<dt>data</dt>
<dd>A data frame where all variables are stored in different columns</dd>

	<dt>type</dt>
<dd>Fit type: Logistic ("LOGIT"), linear ("LM"), Cox proportional hazards ("COX") or "SVM"</dd>

	<dt>fitFRESA</dt>
<dd>if true it will perform use the FRESA cpp code for fitting</dd>

	<dt>...</dt>
<dd>Additional parameters for fitting a default <code>glm</code> object</dd>

</dl>

modelFitting: Fit a model to the data

Description

Usage

Value

Arguments

Author