version 1.12, 2016/02/14 00:21:50 |
version 1.14, 2016/02/16 02:17:00 |
|
|
% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.11 2016/02/13 22:56:50 takayama Exp $ |
% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.13 2016/02/15 07:42:07 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. |
Line 42 hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method, |
|
Line 42 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 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, it is automatically set. |
When autoplot=1, it is automatically set. |
} |
} |
Line 53 hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method, |
|
Line 53 hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method, |
|
} |
} |
\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., |
|
err=c(1e-(xy+5), 1e-10) or by increasing q0 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. |
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, |
|
} |
} |
\item{autoplot}{ |
\item{autoplot}{ |
autoplot=0 is the default value. |
autoplot=0 is the default value. |
If it is 1, then it outputs an input for plot. |
If it is 1, then this function outputs an input for plot |
|
(which is equivalent to setting the 3rd argument of the mode parameter properly). |
When ans is the output, ans[1,] is c(q,prob at q,...), ans[2,] is c(q0,prob at q0,...), and ans[3,] is c(q0+q/100,prob at q/100,...), ... |
When ans is the output, ans[1,] is c(q,prob at q,...), ans[2,] is c(q0,prob at q0,...), and ans[3,] is c(q0+q/100,prob at q/100,...), ... |
|
When the adaptive Runge-Kutta method is used, the step size h may change |
|
automatically, |
|
which makes the sampling period change, in other words, the sampling points |
|
q0+q/100, q0+2*q/100, q0+3*q/100, ... may change. |
|
In this case, the output matrix may contain zero rows in the tail or overfull. |
|
In case of the overful, use the mode option to get the all result. |
} |
} |
} |
} |
\details{ |
\details{ |