rkpk                   package:gss                   R Documentation

_I_n_t_e_r_f_a_c_e _t_o _R_K_P_A_C_K

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

     Call RKPACK routines for numerical calculations for fitting and
     predicting from Smoothing Spline ANOVA models.

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

     sspreg(s, q, y, method="v", varht=1)
     mspreg(s, q, y, method="v", varht=1, prec=1e-7, maxiter=30)
     sspregpoi(family, s, q, y, wt, offset, method="u",
               varht=1, prec=1e-7, maxiter=30)
     mspregpoi(family, s, q, y, wt, offset, method="u",
               varht=1, prec=1e-7, maxiter=30)
     getcrdr(obj, r)
     getsms(obj)

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

       s: Design matrix of fixed effects.

       q: Inverse variance-covariance matrices of random effects.

       y: Model response.

  method: Method for smoothing parameter selection.

   varht: Assumed dispersion parameter, needed only for `method="u"'.

    prec: Precision requirement for iterations.

 maxiter: Maximum number of iterations allowed.

  family: Error family.

      wt: Model weights.

  offset: Model offset.

     obj: Object returned from a call to `sspreg', `mspreg',
          `sspregpoi', or `mspregpoi'.

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

     `sspreg' is used by `ssanova' to fit Gaussian models with a single
     smoothing parameter.  `mspreg' is used to fit Gaussian models with
     multiple single smoothing parameters.

     `sspregpoi' is used by `gssanova' to fit non Gaussian models with
     a single smoothing parameter.  `mspregpoi' is used to fit non
     Gaussian models with multiple single smoothing parameters.

     `getcrdr' and `getsms' are used by `predict.ssanova' to calculate
     standard errors of the fitted terms.

_R_e_f_e_r_e_n_c_e_s:

     Gu, C. (1989), RKPACK and its applications: Fitting smoothing
     spline models.  In ASA Proceedings of Statistical Computing
     Section, pp. 42-51.

