dist-ssd.R
# 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
################################################################################
# FUNCTIONS: DESCRIPTION:
# dssd Returns spline smoothed density estimate
# pssd Returns spline smoothed probability estimate
# qssd Returns spline smoothed quantiles estimate
# rssd Returns spline smoothed random variates
################################################################################
dssd <-
function(x, param, log = FALSE)
{
# A function implemented by Diethelm Wuertz
# Description:
# Evaluate density using smoothing spline ANOVA model
# FUNCTION:
# Density:
ans = .dssden(object = param, x = x)
# Log:
if(log) ans = log(ans)
# Return Value:
ans
}
# ------------------------------------------------------------------------------
pssd <-
function(q, param)
{
# A function implemented by Diethelm Wuertz
# Description:
# Evaluate probability using smoothing spline ANOVA model
# FUNCTION:
# Return Value:
.pssden(object = param, q = q)
}
# ------------------------------------------------------------------------------
qssd <-
function(p, param)
{
# A function implemented by Diethelm Wuertz
# Description:
# Evaluate quantiles using smoothing spline ANOVA model
# FUNCTION:
# Return Value:
.qssden(object = param, p = p)
}
# ------------------------------------------------------------------------------
rssd <-
function(n, param)
{
# A function implemented by Diethelm Wuertz
# Description:
# Generate random deviates using smoothing spline ANOVA model
# FUNCTION:
# Return Value:
.qssden(object = param, p = runif(n))
}
################################################################################