This release brings new validation modules, speeds up r.futures.potential and includes better handling of some edge cases. add new modules for validation (#36) includes allocation/quantity disagreement, cohen's kappa, Kappa simulation (Vliet et al, 2011) r.futures.validation: global validation r.futures.gridvalidation: validation on a grid (useful for large areas) r.futures.pga fix for case when there are no derived patch sizes fix reading patches when running on a subset of subregions (#29) better verbose message showing progress (#28) check all subregions in map are in potential file (#31) r.futures.potential: model selection improvements (#23) speed up with parallelization of dredge function (requires R snow package) option to output file summarizing all models add option fixed_columns to specify predictors that should always be included r.futures.demand fallback method for inverse relations that keeps density static (#24) if there is zero in population data, discard data point (#22) do not exit if using only 1 method which can't converge fix matplotlib deprecation warning (#19) r.futures.parallelpga and r.futures.calibration - add memory option from r.futures.pga