version 1.14, 2016/02/16 02:17:00 |
version 1.16, 2022/04/07 00:56:44 |
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% $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, |
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Line 33 hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method, |
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} |
} |
\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. |
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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. |
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Line 108 See the reference below. |
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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 |