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kaps (version 0.8.3)

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). In the near future, we have a plan to add new recursive partitioning algorithm for survival data called STUDI (Cho and Hong, 2008)

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Version

Install

install.packages('kaps')

Monthly Downloads

11

Version

0.8.3

License

GPL-2

Maintainer

Soo-Heang Eo

Last Published

March 20th, 2012

Functions in kaps (0.8.3)

plot

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

S4 Class "HyperParaControl"
lrtree.control

Control for lrtree Models
km.curve

Plot Kaplan-Meire survival curves
show

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

Methods for Function labels for lrtree
text

Methods for Function text
kaps-package

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

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

Predict new data witgh the fitted model kaps .
toy

toy example
kaps

K-adaptive partitioing for survival data
print

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

Show the NEWS file of the kaps package
count.mindat

Caculate the sample size given the number of partitions or subgroups
apss-class

S4 Class "apss"
summary

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

S4 Class "Tree"
apss.control

Control minor parameters for "apss" object