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} |
\name{hgm.p2wishart} |
\alias{hgm.p2wishart} |
\alias{hgm.p2wishart} |
%- Also NEED an '\alias' for EACH other topic documented here. |
%- 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 |
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Line 43 hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me |
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\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 q0. |
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. |
p-steps of x are also returned. Sampling interval is controled by dp. |
When autoplot=1, mode is automatically set. |
When autoplot=1, mode is automatically set. |
} |
} |
Line 54 hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me |
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Line 54 hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me |
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} |
} |
\item{err}{ |
\item{err}{ |
When err=c(e1,e2), e1 is the absolute error and e2 is the relative error. |
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., |
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err=c(1e-(xy+5), 1e-10) when initial value at q0 is very small as 1e-xy. |
} |
} |
\item{automatic}{ |
\item{automatic}{ |
automatic=1 is the default value. |
automatic=1 is the default value. |