NAIVE_BAYES

FRESA wrapper to fit <code>naivebayes::naive_bayes</code> object to the data

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

NAIVE_BAYES 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>pca</dt>
<dd>Apply PCA?</dd>	<dt>normalize</dt>
<dd>Apply data normalization?</dd>	<dt>...</dt>
<dd>Parameters to be passed to the naivebayes::naive_bayes function</dd></dl>

Arguments

Author

Naive Bayes Modeling — NAIVE_BAYES

<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>pca</dt>
<dd>Apply PCA?</dd>

	<dt>normalize</dt>
<dd>Apply data normalization?</dd>

	<dt>...</dt>
<dd>Parameters to be passed to the naivebayes::naive_bayes function</dd>

</dl>

NAIVE_BAYES: Naive Bayes Modeling

Description

Usage

Value

Arguments

Author

See Also