General enhancements for standardization and efficiency (will require coordination with FrEDI Data), in order of staging:
ImpactYear label. Change "NA" label in impactYear column of run_fredi outputs to "N/A" instead of "NA" (use label instead of id) for consistency. All results will be different if impactYear is not included in aggLevels argument.
Scenarios. Add steps to "Build FrEDI" workflow to update scenarios in "data" and "inst/extdata/scenario" directories of FrEDI package. Also include the GDP scenario (see Issue #85)
Remove "byState" arguments and steps throughout run_fredi and helper functions. Can still use popCols = c("state", "postal"). Change the name of the population column from state_pop to just pop.
General enhancements for standardization and efficiency (will require coordination with FrEDI Data), in order of staging:
ImpactYearlabel. Change "NA" label inimpactYearcolumn ofrun_fredioutputs to "N/A" instead of "NA" (use label instead of id) for consistency. All results will be different ifimpactYearis not included inaggLevelsargument.run_frediand helper functions. Can still usepopCols = c("state", "postal"). Change the name of the population column fromstate_popto justpop.May add additional standardizations to come.