Packaged: 2021-05-13 15:19:38 UTC; epapadakis

Packaged: 2021-05-17 09:36:00 UTC; epapadakis

Packaged: 2021-12-03 10:39:53 UTC; epapadakis

Packaged: 2022-02-14 19:31:42 UTC; epapadakis

Packaged: 2022-02-15 12:42:26 UTC; epapadakis

Title: A Collection of Efficient and Extremely Fast R Functions II
Author: Manos Papadakis, Michail Tsagris, Stefanos Fafalios and Marios Dimitriadis.
Description: A collection of fast statistical and utility functions for data analysis. Functions for regression, maximum likelihood, column-wise statistics and many more have been included. C++ has been utilized to speed up the functions.

Packaged: 2021-10-10 20:01:49 UTC; epapadakis

Packaged: 2022-03-22 13:34:31 UTC; epapadakis

Title: Rank Estimation for Linear Models
Description: Rank estimation and inference for linear models.
Estimation is for general scores and a library of commonly used

Description: R estimation and inference for linear models.  Estimation
is for general scores and a library of commonly used score

Title: Rank-Based Estimation for Linear Models
Description: Rank-based (R) estimation and inference for linear models.  Estimation

Title: Varying stimulus coefficient fMRI models in R
Description: A varying coefficient on the stimulus effect is introduced
into the voxelwise fMRI regression model. By this the effects
of the canonical hemodynamic response function are allowed to
vary with another variable, like for example time or a
Depends: methods, splines, mvtnorm, mgcv, Rniftilib

person("Andrei", "Kelarev", role = "ctb"),
person("Michel", "Berkelaar", role = "ctb"),
person("Kjell", "Eikland", role = "ctb"),
person("Samuel E.", "Buttrey and others", role = "ctb"))
Description: Various tools for handling fuzzy measures, calculating Shapley value and Interaction index,  Choquet and Sugeno integrals, as well as fitting fuzzy measures to empirical data are provided. Construction of fuzzy measures from empirical data is done by solving a linear programming problem by using 'lpsolve' package, whose source in C adapted to the R environment
is included. The description of the basic theory of fuzzy measures is in the manual in the Doc folder in this package.
Copyright: Gleb Beliakov. The 'lpsolve' library and its parts are
copyright to various holders, including Kjell Eikland, Michel
Berkelaar, University of Florida, National Institute of