Title: Sample Size Estimation Functions for Studies of Interobserver
sample size estimation in studies of interobserver/interrater
agreement (reliability).  This package contains sample size
estimation functions for both the power-based and confidence
interval-based methods, with binary or multinomial outcomes and

Description: Contains basic tools for sample size estimation in studies of interobserver/interrater agreement (reliability).  Includes functions for both the power-based and confidence interval-based methods, with binary or multinomial outcomes and two through six raters.

Title: Non-additive measure and integral manipulation functions
Author: Michel Grabisch, Ivan Kojadinovic, Patrick Meyer.
Description:  Kappalab, which stands for "laboratory for capacities", is an S4 tool box for capacity (or non-additive measure, fuzzy measure) and integral manipulation on 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 four capacity identification routines: two least squares based approaches, a maximum entropy like method based on variance minimization and an unsupervised approach grounded on parametric entropies. The functions contained in Kappalab can for instance be used for multicriteria decision making or in the framework of cooperative game theory.
Depends: R(>= 2.0.1), methods, quadprog, kernlab
Packaged: Sat Jul  9 13:05:55 2005; ikojadin

Description:  Kappalab, which stands for "laboratory for capacities", is an S4 tool box for capacity (or non-additive measure, fuzzy measure) and integral manipulation on 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 grounded on parametric entropies. The functions contained in Kappalab can for instance be used in the framework of multicriteria decision making or cooperative game theory.
Depends: R(>= 2.0.1), methods, quadprog, kernlab, lpSolve
Packaged: Fri Feb 24 16:53:28 2006; ikojadin