| version 1.14, 2016/02/16 02:17:00 |
version 1.16, 2022/04/07 00:56:44 |
|
|
| % $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.13 2016/02/15 07:42:07 takayama Exp $ |
% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.15 2016/03/01 07:29:18 takayama Exp $ |
| \name{hgm.pwishart} |
\name{hgm.pwishart} |
| \alias{hgm.pwishart} |
\alias{hgm.pwishart} |
| %- Also NEED an '\alias' for EACH other topic documented here. |
%- Also NEED an '\alias' for EACH other topic documented here. |
| Line 33 hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method, |
|
| Line 33 hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method, |
|
| } |
} |
| \item{dp}{ |
\item{dp}{ |
| Sampling interval of solutions by the Runge-Kutta method. |
Sampling interval of solutions by the Runge-Kutta method. |
| When autoplot=1, it is automatically set. |
When autoplot=1 or dp is negative, it is automatically set. |
| |
if it is 0, no sample is stored. |
| } |
} |
| \item{q}{ |
\item{q}{ |
| The second value y[0] of this function is the Prob(L1 < q) |
The second value y[0] of this function is the Prob(L1 < q) |
| Line 107 See the reference below. |
|
| Line 108 See the reference below. |
|
| H.Hashiguchi, Y.Numata, N.Takayama, A.Takemura, |
H.Hashiguchi, Y.Numata, N.Takayama, A.Takemura, |
| Holonomic gradient method for the distribution function of the largest root of a Wishart matrix, |
Holonomic gradient method for the distribution function of the largest root of a Wishart matrix, |
| Journal of Multivariate Analysis, 117, (2013) 296-312, |
Journal of Multivariate Analysis, 117, (2013) 296-312, |
| \url{http://dx.doi.org/10.1016/j.jmva.2013.03.011}, |
\doi{10.1016/j.jmva.2013.03.011}, |
| } |
} |
| \author{ |
\author{ |
| Nobuki Takayama |
Nobuki Takayama |
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