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Diff for /OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd between version 1.5 and 1.6

version 1.5, 2014/03/16 03:11:07 version 1.6, 2014/03/24 05:28:17
Line 1 
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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,
Line 59  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
     |(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.
       Step sizes for the Runge-Kutta method are also set automatically from
       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.
Line 89  See the reference below.
 }  }
 \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,
   \url{http://dx.doi.org/10.1016/j.jmva.2013.03.011},
 }  }
 \author{  \author{
 Nobuki Takayama  Nobuki Takayama

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