dssden                  package:gss                  R Documentation

_E_v_a_l_u_a_t_i_n_g _P_D_F, _C_D_F, _a_n_d _Q_u_a_n_t_i_l_e_s _o_f _S_m_o_o_t_h_i_n_g _S_p_l_i_n_e _D_e_n_s_i_t_y _E_s_t_i_m_a_t_e_s

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

     Evaluate pdf, cdf, and quantiles for smoothing spline density
     estimates.

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

     dssden(object, x)
     pssden(object, q)
     qssden(object, p)

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

  object: Object of class '"ssden"'.

       x: Data frame or vector of points on which density is to be
          evaluated.

       q: Vector of points on which cdf is to be evaluated.

       p: Vector of probabilities for which quantiles are to be
          calculated.

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

     The argument 'x' in 'dssden' is of the same form as the argument
     'newdata' in 'predict.lm', but can take a vector for 1-D
     densities.

     'pssden' and 'qssden' naturally only work for 1-D densities.

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

     A vector of pdf, cdf, or quantiles.

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

     Fitting function 'ssden' and 'cdssden'.

