EM                      Runs the EM algorithm.
NPG                     Generates points of natural origin.
RPG                     Generates random points within a geographic
                        boundary.
SDS                     Generates a list of dispersal vectors.
cosd                    Computes the cosine of an angle expressed in
                        decimal degrees.
frogs                   Frogs sighting locations.
frogsEM                 Frogs sighting locations and the output of the
                        EM() function.
frogsJK                 Four Jackknife re-samplings done on dataset
                        'frogs' generated by function jackKnife().
frogsLacro              Simulated datasets for comparison with 'frogs'
                        dataset generated with function simulacro()
                        (see examples in ?simulacro).
frogsSum                Summary of the dissimilarity values of each of
                        the dataframes in 'frogsLacro' with dataframe
                        'frogs'.
fx                      One dimentional dispersal kernel function.
jackKnife               Jackknifes a dataset.
modSel                  Wrapper for function spatSim() which allows use
                        on multiple datasets.
nzp                     Landmasses of the two main islands of New
                        Zealand as SpatialPolygons.
nzw                     Landmasses of the two main islands of New
                        Zealand as Window object.
plotAlpha               Plots the output of modSel().
plotlacro               Plots the file type used as input and output of
                        simulacro().
simulacro               Builds a simulated biological invasion dataset.
sind                    Computes the sine of an angle expressed in
                        decimal degrees.
spatFilter              Filters a set of points based on a probability
                        map.
spatSim                 Computes spatial dissimilarity of two point
                        processes.
