evaluate-methods          package:distrTEst          R Documentation

_M_e_t_h_o_d_s _f_o_r _F_u_n_c_t_i_o_n _e_v_a_l_u_a_t_e _i_n _P_a_c_k_a_g_e '_d_i_s_t_r_T_E_s_t'

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

     evaluate-methods to produce objects of class "Evaluation"

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

  object: the data set / simulation on which the evaluation takes place

estimator: the estimation function used; should be able to deal with
          data in matrix  form 'samplesize' x 'obsDim', and, should
          return either a  univariate result or a vector (with named
          coordinates, if possible).

 resname: 

    name: 

filename: character; the filename for the Evaluation object (where it
          is to be saved to);  by default the filename of the Data set
          object which is concatenated with the name of the estimator
          in 'savedata'. 

_D_e_t_a_i_l_s:


     besides the arguments determining the method dispatch, we have:

     evaluate(object, estimator, ..., resname = "res", 
                            name = as.character(substitute(object)),
                            filename = filename(object))



_M_e_t_h_o_d_s:

     _e_v_a_l_u_a_t_e 'signature(object = "Dataclass", estimator =
          "function")': creates an object of class "Evaluation", see
          there for further information          

     _e_v_a_l_u_a_t_e 'signature(object = "Contsimulation", estimator =
          "function")': creates an object of class "Evaluation", see
          there for further information .in -5 

_S_e_e _A_l_s_o:

     'Evaluation-class'

