mle-class               package:stats4               R Documentation

_C_l_a_s_s "_m_l_e" _f_o_r _R_e_s_u_l_t_s _o_f _M_a_x_i_m_u_m _L_i_k_e_l_i_h_o_o_d _E_s_t_i_m_a_t_i_o_n

_D_e_s_c_r_i_p_t_i_o_n:

     This class encapsulates results of a generic maximum likelihood
     procedure.

_O_b_j_e_c_t_s _f_r_o_m _t_h_e _C_l_a_s_s:

     Objects can be created by calls of the form 'new("mle", ...)', but
     most often as the result of a call to 'mle'.

_S_l_o_t_s:


     '_c_a_l_l': Object of class '"language"'. The call to 'mle'.

     '_c_o_e_f': Object of class '"numeric"'.  Estimated parameters.

     '_f_u_l_l_c_o_e_f': Object of class '"numeric"'. Fixed and estimated
          parameters.

     '_v_c_o_v': Object of class '"matrix"'.  Approximate
          variance-covariance matrix.

     '_m_i_n': Object of class '"numeric"'.  Minimum value of objective
          function.

     '_d_e_t_a_i_l_s': Object of class '"list"'.  List returned from 'optim'.

     '_m_i_n_u_s_l_o_g_l': Object of class '"function"'.  The negative
          loglikelihood function.

     '_m_e_t_h_o_d': Object of class '"character"'.  The optimization method
          used.

_M_e_t_h_o_d_s:


     _c_o_n_f_i_n_t 'signature(object = "mle")': Confidence intervals from
          likelihood profiles.

     _l_o_g_L_i_k 'signature(object = "mle")': Extract maximized
          log-likelihood.

     _p_r_o_f_i_l_e 'signature(fitted = "mle")': Likelihood profile
          generation.

     _s_h_o_w 'signature(object = "mle")': Display object briefly.

     _s_u_m_m_a_r_y 'signature(object = "mle")': Generate object summary.

     _u_p_d_a_t_e 'signature(object = "mle")':  Update fit.

     _v_c_o_v 'signature(object = "mle")': Extract variance-covariance
          matrix.