follic

<p>Competing risk data set involving follicular cell lymphoma.</p>

datasets

Fast OpenMP parallel processing for Breiman's random forests for survival, competing risks, regression and classification based on Ishwaran and Kogalur's popular random survival forests (RSF) package.  Handles missing data and now includes multivariate, unsupervised forests and quantile regression.  New fast interface using subsampling.

Udaya Kogalur

randomForestSRC

Random Forests for Survival, Regression, and Classification
(RF-SRC)

follic function

<p>A data frame containing:</p><table><tr><td>
    age      </td>
<td> age</td>
</tr><tr><td>
	  hgb      </td>
<td> hemoglobin (g/l)</td>
</tr><tr><td>
    clinstg	 </td>
<td> clinical stage: 1=stage I, 2=stage II</td>
</tr><tr><td>
	  ch       </td>
<td> chemotherapy</td>
</tr><tr><td>
	  rt       </td>
<td> radiotherapy</td>
</tr><tr><td>
    time     </td>
<td> first failure time</td>
</tr></table>

follic: Follicular Cell Lymphoma

Description

Arguments

Format

References

Examples

age	age
hgb	hemoglobin (g/l)
clinstg	clinical stage: 1=stage I, 2=stage II
ch	chemotherapy
rt	radiotherapy
time	first failure time