K Adaptive Partitioning for Survival data
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)
R (>= 2.14.0), methods, survival, Formula, grid, parallel,
locfit

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).

K-Adaptive Partitioning for Survival data
c(person("Soo-Heang", "Eo", role = c("aut", "cre"),
email = "eo.sooheang@gmail.com"),
person("Seung-Mo", "Hong", role = "ctb"),
person("HyungJun", "Cho", role = c("aut","ths")))
This package provides some routines to conduct the K-adaptive partitioning (kaps) algorithm for survival data. A function kaps is an implementation version of our algorithm.
Soo-Heang Eo [aut, cre],
Seung-Mo Hong [ctb],
HyungJun Cho [aut, ths]

c(person(given = "Soo-Heang", family = "Eo", role = c("aut","cre"),
email = "eo.sooheang@gmail.com"),
person(given = "Seung-Mo", family = "Hong", role = "ctb"),
person(given = "HyungJun", family = "Cho", role = "aut",
email = "hj4cho@korea.ac.kr"))
This package provides some routines to conduct the K-adaptive parititioning (kaps) algorithm for survival data. A function kaps is an implementation version of our algorithm.
R (>= 3.0.0), methods, graphics, survival, Formula, coin
Soo-Heang Eo [aut, cre],
Seung-Mo Hong [ctb],
HyungJun Cho [aut]