File: [local] / OpenXM / src / R / r-packages / hgm / man / hgm.cwishart.Rd (download)
Revision 1.1, Sat Feb 23 07:00:21 2013 UTC (11 years, 5 months ago) by takayama
Branch: MAIN
hgm.cwishart of computing the cumulative distribution function of random wishart matrix
is implemented as an R function. #milestone 2013-02-23-a#.
We need several small changes and adjustments to complete this project.
|
% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.1 2013/02/23 07:00:21 takayama Exp $
\name{hgm.cwishart}
\alias{hgm.cwishart}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{
The function hgm.cwishart evaluates the cumulative distribution function
of random wishart matrix.
}
\description{
The function hgm.cwishart evaluates the cumulative distribution function
of random wishart matrix of size m times m.
}
\usage{
hgm.cwishart(m,n,beta,x0,approxdeg,h,dp,x)
}
%- maybe also 'usage' for other objects documented here.
\arguments{
\item{m}{}
\item{n}{}
\item{beta}{
}
\item{approxdeg}{
}
\item{h}{
}
\item{dp}{
}
\item{x}{}
}
\details{
It is evaluated by the Koev-Edelman algorithm near the origin and
and by the HGM when x is far from the origin.
% \code{\link[RCurl]{postForm}}.
}
\value{
The output is x, y[0], ..., y[0] is the value of the cumulative distribution
function at x. y[1],... are some derivatives.
}
\references{
HNTT,
\url{http://arxiv.org/abs/??},
}
\author{
Nobuki Takayama
}
\note{
%% ~~further notes~~
}
%% ~Make other sections like Warning with \section{Warning }{....} ~
\seealso{
%%\code{\link{oxm.matrix_r2tfb}}
}
\examples{
## =====================================================
## Example 1. Computing normalization constant of the Fisher distribution on SO(3)
## =====================================================
hgm.cwishart(m=3,n=5,beta=c(1,2,3),x=10)
}
% Add one or more standard keywords, see file 'KEYWORDS' in the
% R documentation directory.
\keyword{ Cumulative distribution function of random wishart matrix }
\keyword{ Holonomic gradient method }
\keyword{ HGM }