谁能帮我看看这个程序用什么软件编写的？能不能转换用R软件编写。


subroutine hpd(n,alpha,x,alow,aupp)c computing 100(1-alpha)% HPD and credible intervals for x c use Chen-Shao HPD Estimation Algorithm c (see page 219 of Monte Carlo Methods in Bayesian Computation, Springer-Verlag, 2000) c ming-hui chenc july 23, 2001 at wpic input:c alpha: confidence level,0 < alpha < 1c n = mcmc sample sizec x(n): a univariate vector of mcmc sample c output: c (alow(1),aupp(1)): 100(1-alpha)% HPD intervalc (alow(2),aupp(2)): 100(1-alpha)% Bayesian credible intervalc implicit real*8 (a-h,o-z) real*8 x(n) real*8 aupp(2),alow(2) q1=(alpha/2.0d0)*real(n) q2=(1.0d0-alpha/2.0d0)*real(n) nq1=nint(q1) nq2=nint(q2) nq=nq2-nq1 do 100 i=1,n-1 do 110 j=i+1,n if (x(i) .gt. x(j)) then temp=x(i) x(i)=x(j) x(j)=temp endif 110 continue 100 continue do 120 j=1,n-nq pdiff1=x(j) pdiff2=x(j+nq) wb=pdiff2-pdiff1 if (j .eq. 1) then whpd=wb aupp1=pdiff2 alow1=pdiff1 else if (whpd .gt. wb) then whpd=wb aupp1=pdiff2 alow1=pdiff1 endif endif 120 continue alow(1)=alow1 aupp(1)=aupp1 alow(2)=x(nq1) aupp(2)=x(nq2) return end