spmodel v0.13.0

spmodel 0.13.0

Major Updates

• Changed the default relative stopping tolerance (i.e., reltol) passed to stats::optim(method = "Nelder-Mead", ...) from 1e-4 to 1e-6, affecting splm(), spglm(), spautor(), spgautor(), and splmRF() model objects. The intent of this change is to help prevent convergence to a local maximum that is not a global maximum. This change may affect default backwards compatibility of fitted models, depending on the shape of their objective function. If the fitted model has changed due to the change in reltol, adding control = list(reltol = 1e-4) as an argument to splm(), spglm(), spautor(), spgautor(), or splmRF() will reproduce the original fitted model.

Minor Updates

• Improved efficiency of prediction using splm(..., data) and spglm(..., data) model objects having many random effect or partition factor levels in newdata that are not present in data .
• Minor unit test updates.

Bug Fixes

• Fixed a bug that occurred when calling predict(object, newdata = newdata, block = TRUE, ...) if at least one level of a random effect or partition factor from data (used to fit object) was not present in newdata.
• Fixed a bug that occurred when calling loocv(object, local = TRUE, ...) if at least one level of a random effect or partition factor from data (used to fit object) was represented by only one observation in data.
• Fixed a bug that prevented proper centering by offset in data for prediction using spglm(..., data) and spgautor(..., data) model objects.
• Fixed a bug that prevented adding offset to splm() model object fitted values when spcov_type = "none" or class(spcov_initial) = "none".
• Fixed a bug that reordered rows alphabetically when calling tidy(..., conf.int = TRUE).
• Fixed a bug that occurred when simulating spatial data with anisotropy.