Rank estimation and inference for linear models.
Estimation is for general scores and a library of commonly used
score functions is included.

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

Rank-based (R) estimation and inference for linear models.  Estimation
is for general scores and a library of commonly used score
functions is included.

Varying stimulus coefficient fMRI models in R
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
vigilance parameter.
methods, splines, mvtnorm, mgcv, Rniftilib

c(person("Gleb", "Beliakov", role = c("aut", "cre"),
email = "gleb@deakin.edu.au"),
person("Quan", "Vu", role = "ctb"),
person("Andrei", "Kelarev", role = "ctb"),
person("Michel", "Berkelaar", role = "ctb"),
person("Kjell", "Eikland", role = "ctb"),
person("Samuel E.", "Buttrey and others", role = "ctb"))
Gleb Beliakov [aut, cre],
Quan Vu [ctb],
Andrei Kelarev [ctb],
Michel Berkelaar [ctb],
Kjell 	Eikland [ctb],
Samuel E. Buttrey and others [ctb]
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.
Gleb Beliakov. The 'lpsolve' library and its parts are
copyright to various holders, including Kjell Eikland, Michel
Berkelaar, University of Florida, National Institute of
Standards and Technology.

c(person("Gleb", "Beliakov", role = c("aut", "cre"),
email = "gleb@deakin.edu.au"),
person("Quan", "Vu", role = "ctb"),
person("Andrei", "Kelarev", role = "ctb"),
person("Michel", "Berkelaar", role = "ctb"),
person("Kjell", "Eikland", role = "ctb"),
person("Samuel E.", "Buttrey", role = "ctb"),
person("Stefan I.", "Larimore", role = "ctb"),
person("Timothy A.", "Davis", role = "ctb"),
person("John", "Gilbert", role = "ctb"),
person("Esmond", "Ng", role = "ctb") ,
person("Peter", "Notebaert", role = "ctb") ,
person("Richard", "Stallman", role = "ctb") ,
person("Jeroen", "Dirks", role = "ctb") )
Gleb Beliakov [aut, cre],
Quan Vu [ctb],
Andrei Kelarev [ctb],
Michel Berkelaar [ctb],
Kjell 	Eikland [ctb],
Samuel E. Buttrey [ctb],
Stefan I. Larimore [ctb],
Timothy A. Davis [ctb],
John Gilbert [ctb],
Esmond Ng [ctb],
Peter Notebaert [ctb],
Richard Stallman [ctb],
Jeroen Dirks [ctb]
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.
Gleb Beliakov. The 'lpsolve' library and its parts are
copyright to various holders, including Kjell Eikland, Michel
Berkelaar, University of Florida, National Institute of
Standards and Technology, Free Software Foundation, Inc.