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Diff for /OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd between version 1.6 and 1.11

version 1.6, 2014/03/24 05:28:17 version 1.11, 2016/02/13 22:56:50
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 % $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.5 2014/03/16 03:11:07 takayama Exp $  % $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.10 2015/03/27 02:36:30 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 39  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
Line 40  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
   }    }
   \item{mode}{    \item{mode}{
     When mode=c(1,0,0), it returns the evaluation      When mode=c(1,0,0), it returns the evaluation
     of the matrix hypergeometric series and its derivatives at x0.      of the matrix hypergeometric series and its derivatives at q0.
     When mode=c(1,1,(m^2+1)*p), intermediate values of P(L1 < x) with respect to      When mode=c(1,1,(m^2+1)*p), intermediate values of P(L1 < x) with respect to
     p-steps of x are also returned.  Sampling interval is controled by dp.      p-steps of x are also returned.  Sampling interval is controled by dp.
   }    }
Line 75  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
Line 76  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
   It is evaluated by the Koev-Edelman algorithm when x is near the origin and    It is evaluated by the Koev-Edelman algorithm when x is near the origin and
   by the HGM when x is far from the origin.    by the HGM when x is far from the origin.
   We can obtain more accurate result when the variables h is smaller,    We can obtain more accurate result when the variables h is smaller,
   x0 is relevant value (not very big, not very small),    q0 is relevant value (not very big, not very small),
   and the approxdeg is more larger.    and the approxdeg is more larger.
   A heuristic method to set parameters x0, h, approxdeg properly    A heuristic method to set parameters q0, h, approxdeg properly
   is to make x larger and to check if the y[0] approaches to 1.    is to make x larger and to check if the y[0] approaches to 1.
 %  \code{\link[RCurl]{postForm}}.  %  \code{\link[RCurl]{postForm}}.
 }  }
Line 97  Journal of Multivariate Analysis, 117, (2013) 296-312,
Line 98  Journal of Multivariate Analysis, 117, (2013) 296-312,
 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.

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