https://github.com/cran/gss
Tip revision: 402d15e36c3306ee0d68a6f3c9e8bca25afe6ad9 authored by Chong Gu on 08 August 1977, 00:00:00 UTC
version 0.7-3
version 0.7-3
Tip revision: 402d15e
drkpk.Rd
\name{drkpk}
\alias{sspdsty}
\alias{mspdsty}
\title{Numerical Engine for ssden}
\description{
Calculate penalized likelihood density estimates via the Newton
iteration and evaluate the cross-validation score, as implemented in
the RATFOR routine \code{dnewton.r}, and minimize the
cross-validation score using \code{\link{nlm}}.
}
\usage{
sspdsty(s,r,q,cnt,qd.s,qd.r,qd.wt,prec,maxiter,alpha)
mspdsty(s,r,q,cnt,qd.s,qd.r,qd.wt,prec,maxiter,alpha)
}
\details{
\code{sspdsty} is used by \code{\link{ssden}} to compute
cross-validated density estimate with a single smoothing
parameter. \code{mspdsty} is used by \code{\link{ssden}} to compute
cross-validated density estimate with a multiple smoothing
parameters.
}
\arguments{
\item{s}{Fixed effects evaluated at data points.}
\item{r}{Basis of random effects evaluated at data points.}
\item{q}{Penalty matrix.}
\item{cnt}{Bin-counts for histogram data.}
\item{qd.s}{Fixed effects evaluated at quadrature nodes.}
\item{qd.r}{Basis of random effects evaluated at quadrature nodes.}
\item{qd.wt}{Quadrature weights.}
\item{prec}{Precision requirement for internal iterations.}
\item{maxiter}{Maximum number of iterations allowed for
internal iterations.}
\item{alpha}{Parameter defining cross-validation score for smoothing
parameter selection.}
}
\references{
Gu, C. and Wang, J. (2002), \emph{Penalized Likelihood Density
Estimation: Direct Cross-Validation and Scalable Approximation}.
Available at \url{stat.purdue.edu/~chong/manu.html}.
}
\keyword{smooth}