| version 1.2, 2014/04/03 08:27:50 |
version 1.5, 2015/03/27 02:36:30 |
|
|
| % $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.ncorthant.Rd,v 1.1 2014/03/24 05:28:17 takayama Exp $ |
% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.ncorthant.Rd,v 1.4 2015/03/24 07:49:06 takayama Exp $ |
| \name{hgm.ncorthant} |
\name{hgm.ncorthant} |
| \alias{hgm.ncorthant} |
\alias{hgm.ncorthant} |
| %- Also NEED an '\alias' for EACH other topic documented here. |
%- Also NEED an '\alias' for EACH other topic documented here. |
| Line 15 hgm.ncorthant(x,y,rk_step_size=1e-3) |
|
| Line 15 hgm.ncorthant(x,y,rk_step_size=1e-3) |
|
| } |
} |
| %- maybe also 'usage' for other objects documented here. |
%- maybe also 'usage' for other objects documented here. |
| \arguments{ |
\arguments{ |
| \item{x}{} |
\item{x}{See the description of y.} |
| \item{y}{ |
\item{y}{ |
| This function evaluates the orthant probability for the m dimensional |
This function evaluates the orthant probability for the m dimensional |
| multivariate |
multivariate |
| Line 43 The output is the orthant probalibity. |
|
| Line 43 The output is the orthant probalibity. |
|
| Tamio Koyama, Akimichi Takemura, |
Tamio Koyama, Akimichi Takemura, |
| Calculation of orthant probabilities |
Calculation of orthant probabilities |
| by the holonomic gradient method, |
by the holonomic gradient method, |
| \url{http://arxiv.org/abs/1211.682}. |
\url{http://arxiv.org/abs/1211.6822}. |
| } |
} |
| \author{ |
\author{ |
| Tamio Koyama |
Tamio Koyama |
| } |
} |
| \note{ |
%\note{ |
| %% ~~further notes~~ |
%%% ~~further notes~~ |
| } |
%} |
| |
|
| %% ~Make other sections like Warning with \section{Warning }{....} ~ |
%% ~Make other sections like Warning with \section{Warning }{....} ~ |
| |
|
| \seealso{ |
%\seealso{ |
| %%\code{\link{oxm.matrix_r2tfb}} |
%%%\code{\link{oxm.matrix_r2tfb}} |
| } |
%} |
| \examples{ |
\examples{ |
| ## ===================================================== |
## ===================================================== |
| ## Example 1. Computing the orthant probability |
## Example 1. Computing the orthant probability |
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