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kaps (version 0.9-3)

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

0.9-3

License

GPL-2

Maintainer

Soo-Heang Eo

Last Published

May 23rd, 2012

Functions in kaps (0.9-3)

count.mindat

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

K-adaptive partitioing for survival data
predict

Predict new data witgh the fitted model kaps .
km.curve

Plot Kaplan-Meire survival curves
summary

Methods for Function summary for the S4 classes "apss" and "Tree"
apss-class

S4 Class "apss"
labels

Methods for Function labels for lrtree
apss.control

Control minor parameters for "apss" object
HyperParaControl-class

S4 Class "HyperParaControl"
lrtree

Recursive partitioning for censored survival data by log-rank test
lrtree.control

Control for lrtree Models
Tree-class

S4 Class "Tree"
kaps-package

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

toy example
kapsNews

Show the NEWS file of the kaps package
prune

Conduct cost-complexity pruining to obtain ideal tree size
plot

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

Methods for Function text
show

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

Methods for Function print for the "apss" class.