OpenXM/src/R/r-packages/hgm/man/hgm.c2wishart.Rd - diff

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version 1.1, 2016/02/13 06:47:50

version 1.2, 2016/02/13 07:12:52

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% $OpenXM$

% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.c2wishart.Rd,v 1.1 2016/02/13 06:47:50 takayama Exp $

\name{hgm.p2wishart}

\alias{hgm.p2wishart}

%- Also NEED an '\alias' for EACH other topic documented here.

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}

\usage{

hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,method,

err,automatic,assigned_series_error,verbose)

err,automatic,assigned_series_error,verbose,autoplot)

}

%- maybe also 'usage' for other objects documented here.

\arguments{

Line 72 hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me

If it is 1, then steps of automatic degree updates and several parameters

are output to stdout and stderr.

}

\item{autoplot}{

autoplot=0 is the default value.

If it is 1, then it outputs an input for plot.

}

\details{

It is evaluated by the Koev-Edelman algorithm when x is near the origin and

Line 119 hgm.p2wishart(m=3,n1=5,n2=10,beta=c(1,2,4),q=4)

Line 123 hgm.p2wishart(m=3,n1=5,n2=10,beta=c(1,2,4),q=4)

## =====================================================

## Example 2.

## =====================================================

b<-hgm.p2wishart(m=3,n1=5,n2=10,beta=c(1,2,4),q0=0.1,q=20,approxdeg=20,mode=c(1,1,(8+1)*100));

b<-hgm.p2wishart(m=3,n1=5,n2=10,beta=c(1,2,4),q0=0.3,q=20,approxdeg=20,mode=c(1,1,(8+1)*1000));

c<-matrix(b,ncol=16+1,byrow=1);

c<-matrix(b,ncol=8+1,byrow=1);

#plot(c)

## =====================================================

## Example 3.

## =====================================================

c<-hgm.p2wishart(m=3,n1=5,n2=10,beta=c(1,2,4),q0=0.3,q=20,approxdeg=20,autoplot=1);

#plot(c)

}

% Add one or more standard keywords, see file 'KEYWORDS' in the