# vines: Multivariate Dependence Modeling with Vines
# Copyright (C) 2011-2015 Yasser Gonzalez Fernandez
# Copyright (C) 2011-2015 Marta Soto Ortiz
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
setClass("vineFit",
representation = representation(
vine = "Vine",
observations = "numeric",
method = "character"))
showVineFit <- function (object) {
cat("Vine Inference\n\n")
cat("Method:", object@method, "\n")
cat("Vine type:", object@vine@type, "\n")
cat("Dimension:", object@vine@dimension, "\n")
cat("Observations:", object@observations, "\n")
}
setMethod("show", "vineFit", showVineFit)
vineFit <- function (type, data, method = "ml", ...) {
if (type %in% c("CVine", "DVine") && identical(method, "ml")) {
vineFitML(type, data, ...)
} else {
stop("invalid fit method ", dQuote(method), " for ", dQuote(type))
}
}
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