version 1.5, 2014/03/16 03:11:07 |
version 1.6, 2014/03/24 05:28:17 |
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% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.4 2013/03/26 05:53:57 takayama Exp $ |
% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.5 2014/03/16 03:11:07 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 59 hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method, |
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Line 59 hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method, |
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|(F(i)-F(i-1))/F(i-1)| < assigned_series_error where |
|(F(i)-F(i-1))/F(i-1)| < assigned_series_error where |
F(i) is the degree i approximation of the hypergeometric series |
F(i) is the degree i approximation of the hypergeometric series |
with matrix argument. |
with matrix argument. |
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Step sizes for the Runge-Kutta method are also set automatically from |
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the assigned_series_error if it is 1. |
} |
} |
\item{assigned_series_error}{ |
\item{assigned_series_error}{ |
assigned_series_error=0.00001 is the default value. |
assigned_series_error=0.00001 is the default value. |
Line 87 See the reference below. |
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Line 89 See the reference below. |
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} |
} |
\references{ |
\references{ |
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, |
\url{http://arxiv.org/abs/1201.0472}, |
Journal of Multivariate Analysis, 117, (2013) 296-312, |
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\url{http://dx.doi.org/10.1016/j.jmva.2013.03.011}, |
} |
} |
\author{ |
\author{ |
Nobuki Takayama |
Nobuki Takayama |