summary.negbin             package:MASS             R Documentation

_S_u_m_m_a_r_y _M_e_t_h_o_d _F_u_n_c_t_i_o_n _f_o_r _O_b_j_e_c_t_s _o_f _C_l_a_s_s '_n_e_g_b_i_n'

_D_e_s_c_r_i_p_t_i_o_n:

     Identical to 'summary.glm', but with three lines of additional
     output: the ML estimate of theta, its standard error, and twice
     the log-likelihood function.

_U_s_a_g_e:

     ## S3 method for class 'negbin':
     summary(object, dispersion = 1, correlation = FALSE, ...)

_A_r_g_u_m_e_n_t_s:

  object: Fitted model object of class 'negbin' inheriting from 'glm'
          and 'lm'. Typically the output of 'glm.nb'. 

dispersion: as for 'summary.glm', with a default of 1. 

correlation: as for 'summary.glm'. 

     ...: arguments passed to or from other methods. 

_D_e_t_a_i_l_s:

     'summary.glm' is used to produce the majority of the output and
     supply the result. This function is a method for the generic
     function 'summary()' for class '"negbin"'. It can be invoked by
     calling 'summary(x)' for an object 'x' of the appropriate class,
     or directly by calling 'summary.negbin(x)' regardless of the class
     of the object.

_V_a_l_u_e:

     As for 'summary.glm'; the additional lines of output are not
     included in the resultant object.

_S_i_d_e _E_f_f_e_c_t_s:

     A summary table is produced as for 'summary.glm', with the
     additional information described above.

_R_e_f_e_r_e_n_c_e_s:

     Venables, W. N. and Ripley, B. D. (2002) _Modern Applied
     Statistics with S._ Fourth edition.  Springer.

_S_e_e _A_l_s_o:

     'summary', 'glm.nb', 'negative.binomial', 'anova.negbin'

_E_x_a_m_p_l_e_s:

     summary(glm.nb(Days ~ Eth*Age*Lrn*Sex, quine, link = log))

