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

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version 1.4, 2016/02/14 00:21:50

version 1.5, 2016/02/15 07:42:07

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% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.c2wishart.Rd,v 1.3 2016/02/13 22:56:50 takayama Exp $

% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.c2wishart.Rd,v 1.4 2016/02/14 00:21:50 takayama Exp $

\name{hgm.p2wishart}

\alias{hgm.p2wishart}

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

Line 43 hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me

\item{mode}{

When mode=c(1,0,0), it returns the evaluation

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,(2^m+1)*p), intermediate values of P(L1 < x) with respect to

p-steps of x are also returned. Sampling interval is controled by dp.

When autoplot=1, mode is automatically set.

}

Line 54 hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me

}

\item{err}{

When err=c(e1,e2), e1 is the absolute error and e2 is the relative error.

As long as NaN is not returned, it is recommended to set to

This parameter controls the adative Runge-Kutta method.

err=c(0.0, 1e-10), because initial values are usually very small.

If the output is absurd, you may get a correct answer by setting, e.g.,

err=c(1e-(xy+5), 1e-10) when initial value at q0 is very small as 1e-xy.

}

\item{automatic}{

automatic=1 is the default value.