gcv                  package:lasso2                  R Documentation

_G_e_n_e_r_a_l_i_s_e_d _C_r_o_s_s-_V_a_l_i_d_a_t_i_o_n _S_c_o_r_e

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

     Extracts the generalised cross-validation score(s) from fitted
     model objects.

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

     gcv(object, ...)

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

  object: fitted model object; see gcv methods for details.

     ...: arguments passed to methods.

_D_e_t_a_i_l_s:

     See documentation.

_V_a_l_u_e:

     A vector (or matrix) with the bound(s) (relative [if used] and
     absolute), the Lagrangian(s) and the generalised cross-validation
     score(s) for the fitted model(s).

