https://github.com/cran/kappalab
Tip revision: a332a7e86fee6eab7a1737fe089ffa558c0c5692 authored by Ivan Kojadinovic on 04 May 2012, 00:00:00 UTC
version 0.4-6
version 0.4-6
Tip revision: a332a7e
game.R
##############################################################################
#
# Copyright © 2005, 2006, 2007 Michel Grabisch and Ivan Kojadinovic
#
# Ivan.Kojadinovic@polytech.univ-nantes.fr
#
# This software is a package for the statistical system GNU R:
# http://www.r-project.org
#
# This software is governed by the CeCILL license under French law and
# abiding by the rules of distribution of free software. You can use,
# modify and/ or redistribute the software under the terms of the CeCILL
# license as circulated by CEA, CNRS and INRIA at the following URL
# "http://www.cecill.info".
#
# As a counterpart to the access to the source code and rights to copy,
# modify and redistribute granted by the license, users are provided only
# with a limited warranty and the software's author, the holder of the
# economic rights, and the successive licensors have only limited
# liability.
#
# In this respect, the user's attention is drawn to the risks associated
# with loading, using, modifying and/or developing or reproducing the
# software by the user in light of its specific status of free software,
# that may mean that it is complicated to manipulate, and that also
# therefore means that it is reserved for developers and experienced
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# encouraged to load and test the software's suitability as regards their
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# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL license and that you accept its terms.
#
##################################################################################
## Class game extends set.func
##############################################################################
## Constructor from numeric
game <- function(object) {
sf <- set.func.internal(object)
new("game", data = sf$data, subsets = sf$subsets, n = sf$n)
}
## Constructor from set.func
setMethod("as.game", signature(object = "set.func"),
function(object,...) {
new("game", data = object@data, subsets = object@subsets,
n = object@n)
}
)
## Constructor
setMethod("as.game", signature(object = "card.game"),
function(object,...) {
sf <- as.set.func.internal(object)
new("game", data = sf$data, subsets = sf$subsets, n = sf$n)
}
)
## Constructor from Mobius.game
setMethod("zeta", signature(object = "Mobius.game"),
function(object, ...) {
sf <- zeta.internal(object)
new("game", data = sf$data, subsets = sf$subsets, n = sf$n)
}
)
## Constructor from set.func
## The conjugate of a set function is a game
setMethod("conjugate", signature(object = "set.func"),
function(object, ...) {
sf <- conjugate.internal(object)
new("game", data = sf$data, subsets = sf$subsets, n = sf$n)
}
)
##############################################################################
## Computes the Choquet integral of f w.r.t mu
setMethod("Choquet.integral",signature(object = "game", f = "numeric"),
function(object,f,...) {
if (!(object@n == length(f)))
stop("wrong arguments")
.C("Choquet_integral_game",
as.integer(object@n),
as.double(object@data),
as.double(f),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the Sugeno integral of f w.r.t mu (f >= 0)
setMethod("Sugeno.integral",signature(object = "game", f = "numeric"),
function(object,f,...) {
if (!(is.positive(f) && object@n == length(f)))
stop("wrong arguments")
if (is(object)[1] == "capacity" && sum(f <=
object@data[2^object@n]) != object@n)
stop("wrong arguments")
.C("Sugeno_integral_game",
as.integer(object@n),
as.double(object@data),
as.double(f),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the Sipos integral of f w.r.t mu
setMethod("Sipos.integral",signature(object = "game", f = "numeric"),
function(object,f,...) {
if (!(is.double(f) && object@n == length(f)))
stop("wrong arguments")
.C("Sipos_integral_game",
as.integer(object@n),
as.double(object@data),
as.double(f),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the c.d.f. of the Choquet integral in the uniform case at y
setMethod("cdf.Choquet.unif",signature(object = "game", y = "numeric"),
function(object,y,...) {
.C("cdf_Choquet_unif",
as.integer(object@n),
as.double(object@data),
as.double(y),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the p.d.f. of the Choquet integral in the uniform case at y
setMethod("pdf.Choquet.unif",signature(object = "game", y = "numeric"),
function(object,y,...) {
.C("pdf_Choquet_unif",
as.integer(object@n),
as.double(object@data),
as.double(y),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the p.d.f. of the Choquet integral in the exponential case at y
setMethod("pdf.Choquet.exp",signature(object = "game", y = "numeric"),
function(object,y,...) {
.C("pdf_Choquet_exp",
as.integer(object@n),
as.double(object@data),
as.double(y),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the expectation of the Choquet integral in the uniform case
setMethod("expect.Choquet.unif",signature(object = "game"),
function(object,...) {
.C("expectation_Choquet_unif",
as.integer(object@n),
as.double(object@data),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the variance of the Choquet integral in the uniform case
setMethod("sd.Choquet.unif",signature(object = "game"),
function(object,...) {
.C("sd_Choquet_unif",
as.integer(object@n),
as.double(object@data),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the expectation of the Choquet integral in the normal case
setMethod("expect.Choquet.norm",signature(object = "game"),
function(object,...) {
.C("expectation_Choquet_norm_game",
as.integer(object@n),
as.double(object@data),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the variance of the Choquet integral in the normal case
setMethod("sd.Choquet.norm",signature(object = "game"),
function(object,...) {
.C("sd_Choquet_norm",
as.integer(object@n),
as.double(object@data),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
##############################################################################