

locfit(locfit)                               R Documentation

_L_o_c_a_l _R_e_g_r_e_s_s_i_o_n_, _L_i_k_e_l_i_h_o_o_d _a_n_d _D_e_n_s_i_t_y _E_s_t_i_m_a_t_i_o_n_.

_U_s_a_g_e_:

     locfit(formula, data, weights, cens, base, subset, geth, ..., lfproc)

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

 formula: Model Formula; e.g. `y~x' for a regression model;
          `~x' for a density estimation model

    data: Data Frame.

 weights: Prior weights (or sample sizes) for individual
          observations. This is typically used where obser-
          vations have unequal variance.

    cens: Censoring indicator. `1' (or `TRUE') denotes a
          censored observation.  `0' (or `FALSE') denotes
          uncensored.

    base: Baseline for local fitting. For local regression
          models, specifying a `base' is equivalent to using
          `y-base' as the reponse. But `base' also works for
          local likelihood.

  subset: Subset observations in the data frame.

    geth: Don't use.

     ...: Other arguments to `locfit.raw()' (or the
          `lfproc').

  lfproc: A processing function to compute the local fit.
          Default is `locfit.raw()'. Other choices include
          `locfit.robust()', `locfit.censor()' and `loc-
          fit.quasi()'.

_V_a_l_u_e_:

     An object with class `"locfit"'. A standard set of
     methods for printing, ploting, etc. these objects is
     provided.  `locfit()' is a model-formula based front
     end to `locfit.raw()'.

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

     Consult the Web page <URL: http://cm.bell-
     labs.com/stat/project/locfit/>.

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

     `locfit.raw'

_E_x_a_m_p_l_e_s_:

     data(ethanol)
     locfit(NOx~E,data=ethanol)

