ibs.deepAFT

ibs.default

The function ibs is used to calculate integrated Brier Score for deepAFT.

 Integrated Brier Score 

Contains tools to build deep neural network with flexible users define loss function and probability models. Several applications included in this package are, 1) The (deepAFT) model, a deep neural network model for accelerated failure time (AFT) model for survival data. 2) The (deepGLM) model, a deep neural network model for generalized linear model (glm) for continuous, categorical and Poisson data.

Bingshu Chen

Deep Neural Network Tools for Probability and Statistic Models

Patrick Norman

Wenyu Jiang

Wanlu Li

ibs function

<dl> <dt>object</dt>
<dd>the results of a deepAFT fit.</dd> <dt>newdata</dt>
<dd>optional argument, if no null, new data and new y will be used for calculation.</dd> <dt>newy</dt>
<dd>optional argument, used together with new data.</dd> <dt>...</dt>
<dd>other unused arguments.</dd></dl>

Arguments

Author

Calculate integrated Brier Score for deepAFT — ibs

<dl>

 <dt>object</dt>
<dd>the results of a deepAFT fit.</dd>

 <dt>newdata</dt>
<dd>optional argument, if no null, new data and new y will be used for calculation.</dd>

 <dt>newy</dt>
<dd>optional argument, used together with new data.</dd>

 <dt>...</dt>
<dd>other unused arguments.</dd>

</dl>

ibs: Calculate integrated Brier Score for deepAFT

Description

Usage

Value

Arguments

Author

Details

See Also