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spmodel 0.12.0
Major Updates
Added eacf() to compute the empirical autocovariance function.
Minor Updates
Changed the default size argument to the local argument in predict(..., block = TRUE) and augment(..., block = TRUE) from 1000 to 4000. This enhances the block prediction (i.e., Kriging) approximation's accuracy but can slightly increase computational complexity.
Enhanced efficiency of block prediction (i.e., Kriging) for large newdata objects.
Added a warning message that clarifies xcoord and ycoord are ignored when data is an sf object.
Minor documentation updates.
Bug Fixes
Fixed a bug in predict(object, newdata) and augment(object, newdata) that could cause NA values when the spatial covariance was "matern" and a location in newdata was the exact same as a location in data (the data argument used to fit object).