mob_control              package:party              R Documentation

_C_o_n_t_r_o_l _P_a_r_a_m_e_t_e_r_s _f_o_r _M_o_d_e_l-_b_a_s_e_d _P_a_r_t_i_t_i_o_n_i_n_g

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

     Various parameters that control aspects the fitting algorithm for
     recursively partitioned 'mob' models.

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

     mob_control(alpha = 0.05, bonferroni = TRUE, minsplit = 20,
       objfun = deviance, breakties = FALSE, verbose = FALSE)

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

   alpha: numeric significance level. A node is splitted when the
          (possibly Bonferroni-corrected) p value for any parameter
          stability test in that node falls below 'alpha'.

bonferroni: logical. Should p values be Bonferroni corrected?

minsplit: integer. The minimum number of observations (sum of the
          weights) in a node.

  objfun: function. A function for extracting the minimized value of
          the ojbective function from a fitted model in a node.

breakties: logical. Should ties in numeric variables be broken randomly
          for computing the associated parameter instability test?

 verbose: logical. Should information about the fitting process of
          'mob' (such as test statistics, p values, selected splitting
          variables and split points) be printed to the screen?

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

     See 'mob' for more details and references.

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

     A list of class 'mob_control' containing the control parameters.

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

     'mob'

