Title: Non-Additive Measure and Integral Manipulation Functions
Description: S4 tool box for capacity (or non-additive measure, fuzzy measure) and integral manipulation in a finite setting. It contains routines for handling various types of set functions such as games or capacities. It can be used to compute several non-additive integrals: the Choquet integral, the Sugeno integral, and the symmetric and asymmetric Choquet integrals. An analysis of capacities in terms of decision behavior can be performed through the computation of various indices such as the Shapley value, the interaction index, the orness degree, etc. The well-known M�bius transform, as well as other equivalent representations of set functions can also be computed. Kappalab further contains seven capacity identification routines: three least squares based approaches, a method based on linear programming, a maximum entropy like method based on variance minimization, a minimum distance approach and an unsupervised approach based on parametric entropies. The functions contained in Kappalab can for instance be used in the framework of multicriteria decision making or cooperative game theory.

Title: 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
Depends: R (>= 2.14.0), methods, survival, Formula, grid, parallel,

Title: K-Adaptive Partitioning for Survival data
Authors@R: c(person("Soo-Heang", "Eo", role = c("aut", "cre"),
person("Seung-Mo", "Hong", role = "ctb"),
person("HyungJun", "Cho", role = c("aut","ths")))
Description: 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.
Depends: R (>= 3.0.0), survival, Formula, coin