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).
data(b50)
data(p50)
data(b64)The object is a list with the following components:
coordsthe coordinates of data locations.
datathe 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.modelthe correlation model used for the simulation.
nuggetthe values of the nugget parameter used for the simulation.
cov.parsthe covariance parameters used for the simulation.
kappathe value of the smoothness parameter \(\kappa\) used for the simulation.
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. M<U+0802C972>), 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.