mle-class                package:mle                R Documentation

_C_l_a_s_s "_m_l_e". _R_e_s_u_l_t _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

     '_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.

     _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.

