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 Möbius 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.

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.

The palette includes motifs from Japanese landscape and culture.
    And it provides commands for color manipulation and 'ggplot2' color scales.

Attempts to remove vocals from a stereo '.wav' recording of a song.

This is the R implementation of Karel the robot, a programming 
  language created by Dr. R. E. Pattis at Stanford University in 1981. Karel is 
  an useful tool to teach introductory concepts about general programming, such 
  as algorithmic decomposition, conditional statements, loops, etc., in an 
  interactive and fun way, by writing programs to make Karel the robot achieve 
  certain tasks in the world she lives in. Originally based on Pascal, Karel 
  was implemented in many languages through these decades, including 'Java', 'C++', 
  'Ruby' and 'Python'. This is the first package implementing Karel in R.