Package index • afc

All functions

afc-package: Generalized Discrimination Score 2AFC
afc(): Calculate Generalized Discrimination Score 2AFC
afc.cc(): 2AFC For Continuous Observations And Continuous Forecasts
afc.ce(): 2AFC For Continuous Observations And Ensemble Forecasts
afc.dc(): 2AFC For Dichotomous Observations And Continuous Forecasts
afc.dd(): 2AFC For Dichotomous Observations And Dichotomous Forecasts
afc.de(): 2AFC For Dichotomous Observations And Ensemble Forecasts
afc.dm(): 2AFC For Dichotomous Observations And Ordinal Polychotomous Forecasts
afc.dp(): 2AFC For Dichotomous Observations And Probabilistic Forecasts
afc.mc(): 2AFC For Ordinal Polychotomous Observations And Continuous Forecasts
afc.me(): 2AFC For Ordinal Polychotomous Observations And Ensemble Forecasts
afc.mm(): 2AFC For Ordinal Polychotomous Observations And Ordinal Polychotomous Forecasts
afc.mp(): 2AFC For Ordinal Polychotomous Observations And Probabilistic Forecasts
afc.nn(): 2AFC For Nominal Polychotomous Observations And Nominal Polychotomous Forecasts
afc.np(): 2AFC For Nominal Polychotomous Observations And Probabilistic Forecasts
cnrm.nino34.cc: Example Data of Continuous Observations and Continuous Forecasts
cnrm.nino34.ce: Example Data of Continuous Observations and Ensemble Forecasts
cnrm.nino34.dc: Example Data of Dichotomous Observations and Continuous Forecasts
cnrm.nino34.dd: Example Data of Dichotomous Observations and Dichotomous Forecasts
cnrm.nino34.de: Example Data of Dichotomous Observations and Ensemble Forecasts
cnrm.nino34.dm: Example Data of Dichotomous Observations and Polychotomous Forecasts
cnrm.nino34.dp: Example Data of Dichotomous Observations and Probabilistic Forecasts
cnrm.nino34.mc: Example Data of Polychotomous Observations and Continuous Forecasts
cnrm.nino34.me: Example Data of Polychotomous Observations and Ensembles Forecasts
cnrm.nino34.mm: Example Data of Polychotomous Observations and Polychotomous Forecasts
cnrm.nino34.mp: Example Data of Polychotomous Observations and Probabilistic Forecasts
rank.ensembles(): Rank Ensembles