[BACK]Return to hgm.cwishart.Rd CVS log [TXT][DIR] Up to [local] / OpenXM / src / R / r-packages / hgm / man

Diff for /OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd between version 1.5 and 1.10

version 1.5, 2014/03/16 03:11:07 version 1.10, 2015/03/27 02:36:30
Line 1 
Line 1 
 % $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 1.9 2015/03/26 11:54:13 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.
 \title{  \title{
     The function hgm.pwishart evaluates the cumulative distribution function      The function hgm.pwishart evaluates the cumulative distribution function
   of random wishart matrix.    of random wishart matrices.
 }  }
 \description{  \description{
     The function hgm.pwishart evaluates the cumulative distribution function      The function hgm.pwishart evaluates the cumulative distribution function
   of random wishart matrix of size m times m.    of random wishart matrices of size m times m.
 }  }
 \usage{  \usage{
 hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,err)  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
               err,automatic,assigned_series_error,verbose)
 }  }
 %- maybe also 'usage' for other objects documented here.  %- maybe also 'usage' for other objects documented here.
 \arguments{  \arguments{
Line 59  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
Line 60  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 90  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
 }  }
 \note{  \note{
 %%  ~~further notes~~  This function does not work well under the following cases:
   1. The beta (the set of eigenvalues)
   is degenerated or is almost degenerated.
   2. The beta is very skew, in other words, there is a big eigenvalue
   and there is also a small eigenvalue.
   The error control is done by a heuristic method.
   The obtained value is not validated automatically.
 }  }
   
 %% ~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.  ## Example 1.
Legend:
Removed from v.1.5  
changed lines
  Added in v.1.10
FreeBSD-CVSweb <freebsd-cvsweb@FreeBSD.org>