spmodel 0.7.0

Minor Updates

Added AUROC() functions to compute the area under the receiver operating characteristic (AUROC) curve for spglm() and spgautor() models when family is "binomial" and the response is binary (i.e., represents a single success or failure).
Added a BIC() function to compute the Bayesian Information Criterion (BIC) for splm(), spautor(), spglm(), and spgautor() models when estmethod is "reml" (restricted maximum likelihood; the default) or "ml" (maximum likelihood).
Added a type argument to loocv() when cv_predict = TRUE and using spglm() or spgautor() models so that predictions may be obtained on the link or response scale.
Added a warning message when data is an sf object and a geographic (i.e., degrees) coordinate system is used instead of a projected coordinate system.
Changed the default behavior of local in predict.spmodel so that it depends only on the observed data sample size. Now, when the observed data sample size exceeds 10,000 local is set to TRUE by default. This change was made because prediction for big data depends almost exclusively on the observed data sample size, not the number of predictions desired.
Minor external data updates (for package testing).
Minor vignette updates.
Minor documentation updates.
Minor error message updates.

Fixed a bug that prohibited proper indexing when calling predict() with the local method "distance" on a model object fit with a random effect or partition factor.