waywiser 0.3.0

Breaking Changes

• Removed combination functions -- ww_global_geary, ww_global_moran,
  ww_local_geary, ww_local_moran, ww_local_getis_ord. Use metric_set()
  to combine functions instead.

• Renamed ww_local_getis_ord_pvalue_vec() and variants to
  ww_local_getis_ord_g_pvalue_vec(); this change allows internal functions to
  work properly, and makes it easier for the output to indicate if the p-value
  is associated with a g or g* value.

• Yardstick metrics will no longer include geometry columns in their returns.

• The na_action argument to ww_area_of_applicability() has been replaced by
  na_rm, with a default value of FALSE.

• na_rm is now TRUE by default for non-spatial-autocorrelation functions.
  NA values will cause spatial-autocorrelation functions to fail with an error.

New Features

• Added functions (primarily ww_multi_scale()) and a vignette for multi-scale
  assessment of model predictions.

• Added functions to calculate metrics from Ji and Gallo (2006) and Willmott
  (1981, 1982, 2012): ww_agreement_coefficient(),
  ww_systematic_agreement_coefficient(),
  ww_unsystematic_agreement_coefficient(), ww_unsystematic_mpd(),,
  ww_systematic_mpd(), ww_unsystematic_rmpd(), ww_systematic_rmpd(),
  ww_willmott_d(), ww_willmott_dr(), ww_willmott_d1(),
  ww_systematic_mse(), ww_unsystematic_mse(), ww_systematic_rmse(),
  ww_unsystematic_rmse(). Note that ww_willmott_dr() uses the version
  from Willmott (2012); other implementations (sometimes called "d1r") seem to
  use an unbounded variant that I haven't found a reference to support.

• Changed a call in ww_area_of_applicability() to use FNN for nearest
  neighbors, rather than fields. This sped up prediction by a lot.

Bug Fixes

• Rewrote README and moved the old content to a new vignette on assessing the
  spatial dependency in model residuals.

• Added a dependency on FNN.

• Minimum version for dplyr has been bumped to 1.1.0