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# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Library General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This library 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 Library General Public License for more details.
#
# You should have received A copy of the GNU Library General
# Public License along with this library; if not, write to the
# Free Foundation, Inc., 59 Temple Place, Suite 330, Boston,
# MA 02111-1307 USA
################################################################################
.distFitPlot <-
function(fit, x, FUN = "dnig", main = "Parameter Estimation",
span = "auto", add = FALSE, ...)
{
x = as.vector(x)
if (span == "auto") span = seq(min(x), max(x), length = 501)
z = density(x, n = 100, ...)
x = z$x[z$y > 0]
y = z$y[z$y > 0]
# The Density function must accept multiple parameters
# from the first parameter
dFun = match.fun(FUN)
y.points = dnig(span, fit$par)
ylim = log(c(min(y.points), max(y.points)))
if (add) {
lines(x = span, y = log(y.points), col = "steelblue")
} else {
plot(x, log(y), xlim = c(span[1], span[length(span)]),
ylim = ylim, type = "p", xlab = "x", ylab = "log f(x)", ...)
title(main)
lines(x = span, y = log(y.points), col = "steelblue")
}
}
################################################################################
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