calBinProb

The predicted binary probabilities are calibrated to match the observed event rate.
	A logistic model is used to calibrate the predicted probability to the actual event rate.

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

calBinProb function

<dl>	<dt>BinaryOutcome</dt>
<dd>The observed binary outcome</dd>	<dt>OutcomeProbability</dt>
<dd>The predicted probability</dd>
</dl>

Arguments

Author

Calibrates Predicted Binary Probabilities — calBinProb

<dl>

	<dt>BinaryOutcome</dt>
<dd>The observed binary outcome</dd>

	<dt>OutcomeProbability</dt>
<dd>The predicted probability</dd>


</dl>

calBinProb: Calibrates Predicted Binary Probabilities

Description

Usage

Value

Arguments

Author