b50: Simulated Data sets which Illustrate the Usage of the Package...
In geoRglm: A Package for Generalised Linear Spatial Models

Description Usage Format Source References

The simulated data sets b50 and p50 are used in several examples throughout the package documentation. The simulated data set b64 was used in Diggle, Ribeiro and Christensen (2003), and Christensen and Ribeiro (2002).

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data(b50)
data(p50)
data(b64)

The object is a list with the following components:

coords: the coordinates of data locations.
data: the simulated data from the binomial-logit normal model for b50 and b64, and the simulated data from the Poisson-log normal model for p50.
units.m: n-dimensional vector giving the number of trials for b50 and b64, and the observation times for p50.
cov.model: the correlation model used for the simulation.
nugget: the values of the nugget parameter used for the simulation.
cov.pars: the covariance parameters used for the simulation.
kappa: the value of the smoothness parameter kappa used for the simulation.

Simulated data sets.

Peter J. Diggle, Paulo J. Ribeiro and Ole F. Christensen (2003). An introduction to model-based geostatistics. In : Spatial statistics and computational methods (ed. J. Møller), Springer Verlag, 43-86.

Christensen, O. F. and Ribeiro Jr, P. J. (2002). geoRglm - a package for generalised linear spatial models. R News, 2(2), 26-28.

Further information about geoRglm can be found at:
http://gbi.agrsci.dk/~ofch/geoRglm.

geoRglm documentation built on May 2, 2019, 4:03 p.m.