! G13NBF Example Program Text
! Mark 26.2 Release. NAG Copyright 2017.
Module g13nbfe_mod
! G13NBF Example Program Module:
! Parameters and User-defined Routines
! .. Use Statements ..
Use nag_library, Only: nag_wp
! .. Implicit None Statement ..
Implicit None
! .. Accessibility Statements ..
Private
Public :: costfn, get_data
Contains
Subroutine costfn(ts,nr,r,c,y,iuser,ruser,info)
! Cost function, C. This cost function is based on the likelihood of
! the gamma distribution
! .. Scalar Arguments ..
Integer, Intent (Inout) :: info
Integer, Intent (In) :: nr, ts
! .. Array Arguments ..
Real (Kind=nag_wp), Intent (Out) :: c(nr)
Real (Kind=nag_wp), Intent (Inout) :: ruser(*), y(0:*)
Integer, Intent (Inout) :: iuser(*)
Integer, Intent (In) :: r(nr)
! .. Local Scalars ..
Real (Kind=nag_wp) :: dn, shape, si
Integer :: i
! .. Intrinsic Procedures ..
Intrinsic :: log, real
! .. Executable Statements ..
Continue
! RUSER(1) holds the shape parameter (a) for the gamma distribution
shape = ruser(1)
! Test which way around TS and R are (only needs to be done once)
If (ts<r(1)) Then
Do i = 1, nr
si = y(r(i)) - y(ts)
dn = real(r(i)-ts,kind=nag_wp)
c(i) = 2.0_nag_wp*dn*shape*(log(si)-log(dn*shape))
End Do
Else
Do i = 1, nr
si = y(ts) - y(r(i))
dn = real(ts-r(i),kind=nag_wp)
c(i) = 2.0_nag_wp*dn*shape*(log(si)-log(dn*shape))
End Do
End If
! Set info nonzero to terminate execution for any reason
info = 0
End Subroutine costfn
Subroutine get_data(nin,n,k,y,iuser,ruser)
! Read in data that is specific to the cost function
! .. Scalar Arguments ..
Real (Kind=nag_wp), Intent (Out) :: k
Integer, Intent (In) :: n, nin
! .. Array Arguments ..
Real (Kind=nag_wp), Allocatable, Intent (Out) :: ruser(:), y(:)
Integer, Allocatable, Intent (Out) :: iuser(:)
! .. Local Scalars ..
Real (Kind=nag_wp) :: shape
Integer :: i
! .. Executable Statements ..
Continue
! Read in the series of interest
! NB: we are starting Y allocation at 0 as we manipulate
! the data in Y in a moment
Allocate (y(0:n))
Read (nin,*) y(1:n)
! Read in the shape parameter for the Gamma distribution
Read (nin,*) shape
! Store the shape parameter in RUSER. IUSER is not used
Allocate (ruser(1),iuser(0))
ruser(1) = shape
! The cost function is a function of the sum of Y, so for
! efficiency we will calculate the cumulative sum
! It should be noted that this may introduce some rounding issues
! with very extreme data
y(0) = 0.0_nag_wp
Do i = 1, n
y(i) = y(i-1) + y(i)
End Do
! The value of K is defined by the cost function being used
! in this example a value of 0.0 is the required value
k = 0.0_nag_wp
Return
End Subroutine get_data
End Module g13nbfe_mod
Program g13nbfe
! .. Use Statements ..
Use g13nbfe_mod, Only: costfn, get_data
Use nag_library, Only: g13nbf, nag_wp
! .. Implicit None Statement ..
Implicit None
! .. Parameters ..
Integer, Parameter :: nin = 5, nout = 6
! .. Local Scalars ..
Real (Kind=nag_wp) :: beta, k
Integer :: i, ifail, minss, n, ntau
! .. Local Arrays ..
Real (Kind=nag_wp), Allocatable :: ruser(:), y(:)
Integer, Allocatable :: iuser(:), tau(:)
! .. Intrinsic Procedures ..
Intrinsic :: repeat
! .. Executable Statements ..
Continue
Write (nout,*) 'G13NBF Example Program Results'
Write (nout,*)
! Skip heading in data file
Read (nin,*)
! Read in the problem size, penalty and minimum segment size
Read (nin,*) n, beta, minss
! Read in the rest of the data, that (may be) dependent on the cost
! function
Call get_data(nin,n,k,y,iuser,ruser)
! Allocate output arrays
Allocate (tau(n))
! Call routine to detect change points
ifail = 0
Call g13nbf(n,beta,minss,k,costfn,ntau,tau,y,iuser,ruser,ifail)
! Display the results
Write (nout,99999) ' -- Change Points --'
Write (nout,99999) ' Number Position'
Write (nout,99999) repeat('=',21)
Do i = 1, ntau
Write (nout,99998) i, tau(i)
End Do
99999 Format (1X,A)
99998 Format (1X,I4,7X,I6)
End Program g13nbfe