v0.5.0

spOccupancy v0.5.0 contains numerous substantial updates that provide new functionality, improved run times for models with unstructured random effects, an important bug fix for cross-validation with unstructured random effects under certain scenarios, and some other minor bug fixes. The changes include:

• New functionality for fitting spatially-varying coefficient occupancy models. The function svcPGOcc() fits a single-season spatially-varying coefficient model, and svcTPGOcc() fits a multi-season spatially-varying coefficient model. We also include the functions svcPGBinom() and svcTPGBinom() for fitting spatially-varying coefficient generalized linear models when ignoring imperfect detection. We also include the helper function getSVCSamples() to more easily extract the SVC samples from the resulting model objects if they are desired.
• Updated the underlying C++ code to reduce run times for models that include unstructured random intercepts.
• Fixed a bug in the k-fold cross-validation for models that include unstructured random intercepts on the occupancy portion of the model. This bug could have led to inacurrate cross-validation metrics when comparing a model with the unstructured random effect and without the unstructured random effect. We strongly encourage users who have performed cross-validation under such a scenario to rerun their analyses using v0.5.0.
• Added the k.fold.only argument to all model-fitting functions, which allows users to only perform k-fold cross-validation instead of having to run the model first with the entire data set.
• Adjusted how random intercepts in the detection model were being calculated, which resulted in unnecessary massive objects when fitting a model with a large number of random effect levels and spatial locations. See GitHub issue 14.
• Fixed a bug that prevented prediction from working for multi-species models when X.0 was supplied as a data frame and not a matrix. See GitHub issue 13.
• Fixed an error that occurred when the detection-nondetection data were specified in a specific way. See GitHub issue 12.