afc (version 1.4.0)

afc.mp: 2AFC For Ordinal Polychotomous Observations And Probabilistic Forecasts

Description

Routine to calculate the Generalized Discrimination Score (aka Two-Alternatives Forced Choice Score 2AFC) for the situation of polychotomous observations (ordinal) and discrete probabilistic forecasts

Usage

afc.mp(obsv, fcst, m = 3)

Arguments

obsv

vector with polychotomous observations (values in 1,..,m)

fcst

two-dimensional array with forecast probabilities for the m categories; dim(fcst)[1] = length(obsv); dim(fcst)[2] = m

m

number of observation categories (default = 3)

Value

p.afc

Value of Generalized Discrimination (2AFC) Score

Details

This routine applies Eq.16 of Mason and Weigel (2009) to calculate the 2AFC.

References

S.J. Mason and A.P. Weigel, 2009. A generic verification framework for administrative purposes. Mon. Wea. Rev., 137, 331-349

See Also

afc

Examples

  #Forecasts and observations of Nino-3.4 index
  #Load set of polychtomous observations (4 categories) and probabilistic forecasts
  data(cnrm.nino34.mp)
  obsv = cnrm.nino34.mp$obsv
  fcst = cnrm.nino34.mp$fcst

  #Calculate skill score
  afc.mp(obsv,fcst,4)