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Diff for /OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd between version 1.13 and 1.14

version 1.13, 2016/02/15 07:42:07 version 1.14, 2016/02/16 02:17:00
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 % $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.12 2016/02/14 00:21:50 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 55  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
Line 55  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
     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.
     This parameter controls the adative Runge-Kutta method.      This parameter controls the adative Runge-Kutta method.
     If the output is absurd, you may get a correct answer by setting,  e.g.,      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.      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 76  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{

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