gw.glm.cv {lctools} | R Documentation |
A specific version of the function gw.glm
Description
A specific version of the function gw.glm
returning only the leave-one-out Cross Validation (CV) score. gw.glm.cv
exludes the observation for which a sub-model fits.
Usage
gw.glm.cv(bw, formula, family, dframe, obs, kernel, dmatrix)
Arguments
bw |
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). |
formula |
the local model to be fitted using the same syntax used in the glm function in R. This is a sting that is passed to the sub-models' |
family |
a description of the error distribution and link function to be used in the local model as in the |
dframe |
a numeric data frame of at least two suitable variables (one dependent and one independent) |
obs |
number of observations in the global dataset |
kernel |
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 |
dmatrix |
eucledian distance matrix between the observations |
Details
Only used by gw.glm.bw
Value
Leave-one-out Cross Validation (CV) score
Author(s)
Stamatis Kalogirou <stamatis.science@gmail.com>
References
Kalogirou, S. (2003) The Statistical Analysis and Modelling of Internal Migration Flows within England and Wales, PhD Thesis, School of Geography, Politics and Sociology, University of Newcastle upon Tyne, UK. https://theses.ncl.ac.uk/jspui/handle/10443/204
Kalogirou, S. (2016) Destination Choice of Athenians: an application of geographically weighted versions of standard and zero inflated Poisson spatial interaction models, Geographical Analysis, 48(2),pp. 191-230. DOI: 10.1111/gean.12092 https://onlinelibrary.wiley.com/doi/abs/10.1111/gean.12092