===================================================================
RCS file: /home/cvs/OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v
retrieving revision 1.6
retrieving revision 1.11
diff -u -p -r1.6 -r1.11
--- OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd	2014/03/24 05:28:17	1.6
+++ OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd	2016/02/13 22:56:50	1.11
@@ -1,17 +1,18 @@
-% $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}
 \alias{hgm.pwishart}
 %- Also NEED an '\alias' for EACH other topic documented here.
 \title{
     The function hgm.pwishart evaluates the cumulative distribution function
-  of random wishart matrix.
+  of random wishart matrices.
 }
 \description{
     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{
-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.
 \arguments{
@@ -39,7 +40,7 @@ hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
   }
   \item{mode}{
     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
     p-steps of x are also returned.  Sampling interval is controled by dp.
   }
@@ -75,9 +76,9 @@ 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
   by the HGM when x is far from the origin.
   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.
-  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.
 %  \code{\link[RCurl]{postForm}}.
 }
@@ -97,14 +98,20 @@ Journal of Multivariate Analysis, 117, (2013) 296-312,
 Nobuki Takayama
 }
 \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 }{....} ~
 
-\seealso{
-%%\code{\link{oxm.matrix_r2tfb}}
-}
+%\seealso{
+%%%\code{\link{oxm.matrix_r2tfb}}
+%}
 \examples{
 ## =====================================================
 ## Example 1.