predict-methods             package:aod             R Documentation

_M_e_t_h_o_d_s _f_o_r _F_u_n_c_t_i_o_n "_p_r_e_d_i_c_t" _i_n _P_a_c_k_a_g_e "_a_o_d"

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

     "predict" methods for fitted models generated by functions in
     package 'aod'.

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

       ## S4 method for signature 'glimML':
       predict(object, newdata = NULL, 
         type = c("response", "link"), se.fit = FALSE, ...)
       ## S4 method for signature 'glimQL':
       predict(object, newdata = NULL, 
         type = c("response", "link"), se.fit = FALSE, ...)
       

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

  object: A fitted model of formal class "glimML" (functions 'betabin'
          or 'negbin') or  "glimQL" (functions 'quasibin' or
          'quasipois').

 newdata: A data.frame providing all the explanatory variables
          necessary for predictions.

    type: A character string indicating the scale on which predictions
          are made: either "response" for  predictions on the
          observation scale, or "link" for predictions on the scale of
          the link (logit, cloglog  or log.

  se.fit: A logical scalar indicating whether pointwise standard errors
          should be computed for the predictions.

     ...: Other arguments passed to methods.

_M_e_t_h_o_d_s:

     _A_N_Y Generic function: see 'predict'.

     _g_l_i_m_M_L Compute predictions for models of formal class "glimML",
          presently generated  by functions 'betabin' and 'negbin'. See
          the examples for these functions. 

     _g_l_i_m_Q_L Compute predictions for models of formal class "glimQL",
          presently generated by the functions 'quasibin' and
          'quasibin'. See the examples for these functions. 

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

     'predict.glm'

