brier              package:verification              R Documentation

_B_r_i_e_r _S_c_o_r_e

_D_e_s_c_r_i_p_t_i_o_n:

     Calculates verification statistics for probabilistic forecasts of
     binary events.

_U_s_a_g_e:

         brier(obs, pred, baseline, thresholds = seq(0,1,0.1), ... )
            

_A_r_g_u_m_e_n_t_s:

     obs: Vector of binary observations 

    pred: Vector of probablistic predictions [0,1] 

baseline: Vector of climatological (no - skill) forecasts. If this is
          null, a sample climatology will be calculated.

thresholds: Values used to bin the forecasts.  By default the bins are
          {[0,0.1), [0.1, 0.2), ....} .

     ...: Optional arguments

_V_a_l_u_e:

baseline.tf: Logical indicator of whether climatology was provided.

      bs: Brier score

bs.baseline: Brier Score for climatology

      ss: Skill score

bs.reliability: Reliability portion of Brier score.

bs.resolution: Resolution component of Brier score.

bs.uncert: Uncertainty component of Brier score.

     y.i: Forecast bins - described as the center value of the bins.

  obar.i: Observation bins - described as the center value of the bins.

  prob.y: Proportion of time using each forecast

    obar: Forecast based on climatology or average sample observations.

_N_o_t_e:

     This function is used within 'verify'.

_A_u_t_h_o_r(_s):

     Matt Pocernich <pocernic@rap.ucar.edu>

_R_e_f_e_r_e_n_c_e_s:

     Wilks, D. S. (1995) _Statistical Methods in the Atmospheric
     Sciences _ Chapter 7, San Diego: Academic Press.

_E_x_a_m_p_l_e_s:

     #  probabilistic/ binary example

     pred<- runif(100)
     obs<- round(runif(100))

     brier(obs, pred)

