georob

Provides functions for efficiently fitting linear models with spatially correlated errors by robust (Kuensch et al. (2011) https://doi.org/10.3929/ethz-a-009900710) and Gaussian (Harville (1977) https://doi.org/10.1080/01621459.1977.10480998) (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions (Cressie (1993) https://doi.org/10.1002/9781119115151), along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes (Davies and Bryant (2013) https://doi.org/10.18637/jss.v055.i09), unbiased back-transformation of Kriging predictions of log-transformed data (Cressie (2006) https://doi.org/10.1007/s11004-005-9022-8).

Last 30 days

This package has been downloaded 461 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 7,825 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Jan 30, 2025 with 106 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.