pamr.confusion.survival

computes confusion matrix for (survival.time,censoring) outcome based on fit
object "fit" and class predictions "yhat" soft response probabilities for
(survival.time,censoring) are first estimated using Kaplan-Meier method
applied to training data

Some functions for sample classification in microarrays.

Balasubramanian Narasimhan

pamr

Pam: Prediction Analysis for Microarrays

Trevor Hastie

Rob Tibshirani

Gilbert Chu

pamr.confusion.survival function

<dl><dt>fit</dt>
<dd>The result of a call to pamr.train or pamr.cv</dd>
<dt>survival.time</dt>
<dd>Survival time</dd>
<dt>censoring.status</dt>
<dd>censoring status</dd>
<dt>yhat</dt>
<dd>class predictions</dd></dl>

Arguments

Trevor Hastie, Robert Tibshirani, Balasubramanian Narasimhan, and
Gilbert Chu

Author

Compute confusin matrix from pamr survival fit — pamr.confusion.survival

<dl>

<dt>fit</dt>
<dd>The result of a call to pamr.train or pamr.cv</dd>


<dt>survival.time</dt>
<dd>Survival time</dd>


<dt>censoring.status</dt>
<dd>censoring status</dd>


<dt>yhat</dt>
<dd>class predictions</dd>

</dl>

pamr.confusion.survival: Compute confusin matrix from pamr survival fit

Description

Usage

Arguments

Author