Artificially censored data-set used by Diggle and Ribeiro (2001) to illustrate the methods discussed in the paper. The censure for these data was generated following the methods of Schelin et al. (2014).
A data frame with 143 observations on the following 6 variables.
x coordinate for depth data.
y coordinate for depth data.
indicator of censure (left and right censure).
lower limit of censure for depth data.
Schelin, L. & Sjostedt-de Luna, S. (2014). Spatial prediction in the presence of left-censoring. Computational Statistics and Data Analysis, 74.
Diggle, P.J. \& Ribeiro Jr, P.J. (2002) Bayesian inference in Gaussian model-based geostatistics. Geographical and Environmental Modelling, Vol. 6, No. 2, 129-146.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.