Offers a graphical user interface for the evaluation of inter-rater agreement with Cohen's and Fleiss' Kappa. The calculation of kappa statistics is done using the R package 'irr', so that 'KappaGUI' is essentially a Shiny front-end for 'irr'.

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.

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

Implements estimation procedures for Autoregressive Distributed Lag (ARDL) 
    and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both 
    short- and long-run relationships in time series data under mixed orders of integration. 
    The package supports simultaneous modeling of symmetric and asymmetric regressors, 
    flexible treatment of short-run and long-run asymmetries, and automated equation handling. 
    It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F 
    and t bounds tests, and narayan test. 
    Methodological foundations are provided in Pesaran, Shin, and Smith (2001) 
    <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).