=================================================================== RCS file: /home/cvs/OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v retrieving revision 1.13 retrieving revision 1.14 diff -u -p -r1.13 -r1.14 --- OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd 2016/02/15 07:42:07 1.13 +++ OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd 2016/02/16 02:17:00 1.14 @@ -1,4 +1,4 @@ -% $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} \alias{hgm.pwishart} %- Also NEED an '\alias' for EACH other topic documented here. @@ -55,7 +55,7 @@ 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. This parameter controls the adative Runge-Kutta method. 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}{ automatic=1 is the default value. @@ -76,8 +76,15 @@ hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method, } \item{autoplot}{ 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 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{