summary.loglm              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 '_l_o_g_l_m'

_D_e_s_c_r_i_p_t_i_o_n:

     Returns a summary list for log-linear models fitted by iterative
     proportional scaling using 'loglm'.

_U_s_a_g_e:

     ## S3 method for class 'loglm':
     summary(object, fitted = FALSE, ...)

_A_r_g_u_m_e_n_t_s:

  object: a fitted loglm model object. 

  fitted: if 'TRUE' return observed and expected frequencies in the
          result. Using 'fitted = TRUE' may necessitate re-fitting the
          object. 

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

_D_e_t_a_i_l_s:

     This function is a method for the generic function 'summary()' for
     class '"loglm"'. It can be invoked by calling 'summary(x)' for an
     object 'x' of the appropriate class, or directly by calling
     'summary.loglm(x)' regardless of the class of the object.

_V_a_l_u_e:

     a list is returned for use by 'print.summary.loglm'. This has
     components

 formula: the formula used to produce 'object' 

   tests: the table of test statistics (likelihood ratio, Pearson) for
          the fit. 

      oe: if 'fitted = TRUE', an array of the observed and expected
          frequencies, otherwise 'NULL'. 

_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:

     'loglm', 'summary'