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kaps (version 0.9-2)

K Adaptive Partitioning for Survival data

Description

This package provides some routines to conduct the K-adaptive parititioning (kaps) and recursive partitioning (lrtree) for survival data, with the application to SEER (Surveillance Epidemiology and End Results). A function kaps is an implementation version of our algorithm kaps which provides minimax based partitioing rule by log-rank test. A fuction lrtree enables researchers to conduct log-rank survival tree proposed by Segal (1988).

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Version

Install

install.packages('kaps')

Monthly Downloads

11

Version

0.9-2

License

GPL-2

Maintainer

Soo-Heang Eo

Last Published

April 16th, 2012

Functions in kaps (0.9-2)

apss.control

Control minor parameters for "apss" object
lrtree.control

Control for lrtree Models
HyperParaControl-class

S4 Class "HyperParaControl"
count.mindat

Caculate the sample size given the number of partitions or subgroups
print

Methods for Function print for the "apss" class.
Tree-class

S4 Class "Tree"
kaps

K-adaptive partitioing for survival data
labels

Methods for Function labels for lrtree
text

Methods for Function text
apss-class

S4 Class "apss"
summary

Methods for Function summary for the S4 classes "apss" and "Tree"
prune

Conduct cost-complexity pruining to obtain ideal tree size
kaps-package

Functions for K-adaptive partitioning and recursive partitioning for censored survival data.
show

Methods for Function show for the "apss" and "Tree" classes.
toy

toy example
km.curve

Plot Kaplan-Meire survival curves
predict

Predict new data witgh the fitted model kaps .
kapsNews

Show the NEWS file of the kaps package
lrtree

Recursive partitioning for censored survival data by log-rank test
plot

Methods for Function plot of an S4 class object "Tree" and "apss".