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kaps (version 0.9-8)

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

0.9-8

License

GPL-2

Maintainer

Soo-Heang Eo

Last Published

July 2nd, 2012

Functions in kaps (0.9-8)

HyperParaControl-class

S4 Class "HyperParaControl"
plot

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

toy example
prune

Conduct cost-complexity pruining to obtain ideal tree size
Tree-class

S4 Class "Tree"
print

Methods for Function print for the "apss" class.
labels

Methods for Function labels for lrtree
kapsNews

Show the NEWS file of the kaps package
km.curve

Plot Kaplan-Meire survival curves
apss-class

S4 Class "apss"
show

Methods for Function show for the "apss" and "Tree" classes.
lrtree.control

Control for lrtree Models
lrtree

Recursive partitioning for censored survival data by log-rank test
count.mindat

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

Methods for Function text
kaps-package

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

Predict new data witgh the fitted model kaps .
summary

Methods for Function summary for the S4 classes "apss" and "Tree"
kaps.control

Control minor parameters for "apss" object
kaps

K-adaptive partitioing for survival data