drop forecasters that don't exist

Author: nmdefries

Report/create_reports.R

@@ -32,20 +32,24 @@ options(warn = 1)
 
 # Requested forecasters that do not get included in final scores:
 #    Auquan-SEIR: Only predicts cumulative deaths
-#    CDDEP-ABM: No longer on Forecast Hub. Causes some warnings when trying to download.
 #    CDDEP-SEIR_MCMC: County-level predictions only
 #    CUBoulder-COVIDLSTM: County-level predictions only
 #    FAIR-NRAR: County-level predictions only
 #    HKUST-DNN: Only predicts cumulative deaths
-#    ISUandPKU-vSEIdR: Folder but no forecasts on Forecast Hub
 #    PandemicCentral-COVIDForest: County-level predictions only
 #    UT_GISAG-SPDM: County-level predictions only
 #    WalmartLabsML-LogForecasting: Only predicts cumulative deaths
 #    Yu_Group-CLEP: County-level predictions only
 forecasters <- unique(c(
   get_covidhub_forecaster_names(designations = c("primary", "secondary")),
   "COVIDhub-baseline", "COVIDhub-trained_ensemble", "COVIDhub-4_week_ensemble"
-))
+)) %>%
+  # Drop a couple invalid forecasters
+  setdiff(c(
+    "CDDEP-ABM", # No longer on Forecast Hub. Causes some warnings when trying to download.
+    "ISUandPKU-vSEIdR" # Folder but no forecasts on Forecast Hub
+  ))
+
 locations <- covidHubUtils::hub_locations
 
 # also includes "us", which is national level data