logLik.glm               package:base               R Documentation

_E_x_t_r_a_c_t _L_o_g-_L_i_k_e_l_i_h_o_o_d _f_r_o_m _a_n _g_l_m _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     Returns the log-likelihood value of the generalized linear model
     represented by `object' evaluated at the estimated coefficients.

_U_s_a_g_e:

     logLik(object, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class `"glm"'.

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

_V_a_l_u_e:

     the log-likelihood of the linear model represented by `object'
     evaluated at the estimated coefficients.

_S_e_e _A_l_s_o:

     `glm', `logLik.lm'

_E_x_a_m_p_l_e_s:

     ##-- Continuing the  glm(.) example:
     Eq <- function(x,y) all.equal(x,y, tol = 1e-12)
     stopifnot(Eq(AIC(anorex.1), anorex.1$aic),
               Eq(AIC(g1), g1$aic),
               Eq(AIC(g2), g2$aic))

