predict

predict.fitFRESA

This function returns the predicted outcome of a specific model.
	The model is used to generate linear predictions.
	The probabilistic values are generated using the logistic transformation on the linear predictors.

Model_Prediction

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

predict.fitFRESA function

<dl>	<dt>object</dt>
<dd>An object of class fitFRESA containing the model to be analyzed</dd>	<dt>...</dt>
<dd>A list with: testdata=testdata;predictType=c("linear","prob") and impute=FALSE.
		If impute is set to TRUE it will use the object model to impute missing data</dd></dl>

Arguments

Jose G. Tamez-Pena and Antonio Martinez-Torteya

Author

Linear or probabilistic prediction — predict.fitFRESA

<dl>

	<dt>object</dt>
<dd>An object of class fitFRESA containing the model to be analyzed</dd>

	<dt>...</dt>
<dd>A list with: testdata=testdata;predictType=c("linear","prob") and impute=FALSE.
		If impute is set to TRUE it will use the object model to impute missing data</dd>

</dl>

predict.fitFRESA: Linear or probabilistic prediction

Description

Usage

Value

Arguments

Author

See Also