a positive number that may be an integer in the case of an "adaptive kernel" or a real in the case of a "fixed kernel". In the first case the integer denotes the number of nearest neighbours, whereas in the latter case the real number refers to the bandwidth (in meters if the coordinates provided are Cartesian). This argument can be also the result of a bandwidth selection algorithm such as those available in the function gw.zi.bw

the local model to be fitted using the same syntax used in the zeroinfl function of the R package pscl. This is a sting (a symbolic description of the model) that is passed to the sub-models' zeroinfl function. For more details look at the details of the zeroinfl function.

a specification of the count model family to be used in the local model as in the zeroinfl function. Currently the only option tested is "poisson".

a numeric data frame of at least two suitable variables (one dependent and one independent)

number of observations in the global dataset

the kernel to be used in the regression. Options are "adaptive" or "fixed". The weighting scheme used here is defined by the bi-square function (weight = (1-(ndist/H)^2)^2 for distances less than or equal to H, 0 otherwise)

eucledian distance matrix between the observations