reach(x, ...)  ## S3 method for class 'ppm':
reach(x, \dots, epsilon=0)
  ## S3 method for class 'interact':
reach(x, \dots)
  ## S3 method for class 'rmhmodel':
reach(x, \dots)
  ## S3 method for class 'fii':
reach(x, \dots, epsilon)
"ppm"), an interpoint interaction (object of class
    "interact"), a fitted interpoint interaction (object of
    class "fii") or a point process model for siNA if this cannot be
  computed from the information given.  For example, the interaction range of a Strauss process
  (see Strauss)
  with parameters $\beta,\gamma,r$ is equal to
  $r$, unless $\gamma=1$ in which case the model is
  Poisson and the interaction
  range is $0$.
  The interaction range of a Poisson process is zero.
  The interaction range of the Ord threshold process
  (see OrdThresh) is infinite, since two points may
  interact at any distance apart.
  The function reach(x) is generic, with methods
  for the case where x is 
  
"ppm", usually obtained from the model-fitting
    functionppm);"interact"), created by one of the functionsPoisson,Strauss,StraussHard,MultiStrauss,MultiStraussHard,Softcore,DiggleGratton,Pairwise,PairPiece,Geyer,LennardJones,Saturated,OrdThreshorOrd;"fii") extracted from a fitted point process model
    by the commandfitin;"rmhmodel"), usually obtained fromrmhmodel.x is an "interact" object,
  reach(x) returns the maximum possible interaction range
  for any point process model with interaction structure given by x.
  For example, reach(Strauss(0.2)) returns 0.2.
  
  When x is a "ppm" object,
  reach(x) returns the interaction range
  for the point process model represented by x.
  For example, a fitted Strauss process model
  with parameters beta,gamma,r will return
  either 0 or r, depending on whether the fitted
  interaction parameter gamma is equal or not equal to 1.  For some point process models, such as the soft core process
  (see Softcore), the interaction distance is
  infinite, because the interaction terms are positive for all
  pairs of points. A practical solution is to compute 
  the distance at which the interaction contribution
  from a pair of points falls below a threshold epsilon,
  on the scale of the log conditional intensity. This is done
  by setting the argument epsilon to a positive value.
ppm,
    Poisson,
    Strauss,
    StraussHard,
    MultiStrauss,
    MultiStraussHard,
    Softcore,
    DiggleGratton,
    Pairwise,
    PairPiece,
    Geyer,
    LennardJones,
    Saturated,
    OrdThresh,
    Ord,
    rmhmodelreach(Poisson())
    # returns 0
    reach(Strauss(r=7))
    # returns 7
    data(swedishpines)
    fit <- ppm(swedishpines, ~1, Strauss(r=7))
    reach(fit)
    # returns 7
    reach(OrdThresh(42))
    # returns Inf
    
    reach(MultiStrauss(1:2, matrix(c(1,3,3,1),2,2)))
    # returns 3Run the code above in your browser using DataLab