spmodel 0.2.0

Minor updates

• splm() and spautor() allow multiple models to be fit when the spcov_type argument is a vector of length greater than one or the spcov_initial argument is a list (with length greater than one) of spcov_initial objects.
  • The resulting object is a list with class spmod_list. Each element of the list holds a different model fit.
  • glances() is used on an spmod_list object to glance at each model fit.
  • predict() is used on an spmod_list object to predict at the locations in newdata for each model fit.
• Added the splmRF() and spautorRF() functions to fit random forest spatial residual models.
  • The resulting object has class spmodRF (one spatial covariance) or spmodRF_list (multiple spatial covariances)
  • These objects are built for use with predict() to perform prediction.
• Added the covmatrix() function to extract covariance matrices from an spmod object fit using splm() or spautor().
• Minor vignette updates.
• Minor documentation updates.

Bug Fixes

• Fixed a bug that prevents display of spatial covariance type in summary of spmod objects.
• Fixed a bug that prevented prediction of factor variables when all levels of all factor variables did not appear in newdata.

spmodel 0.1.1

Minor updates

• Updated unit tests so that they are compatible with an upcoming version of Matrix.

spmodel 0.1.0

This is the initial release of spmodel.