

dlogspline(logspline)                        R Documentation

_L_o_g_s_p_l_i_n_e _D_e_n_s_i_t_y _E_s_t_i_m_a_t_i_o_n

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

     dlogspline(q, fit)
     plogspline(q, fit)
     qlogspline(p, fit)
     rlogspline(n, fit)

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

       q: vector of quantiles. Missing values (NAs) are
          allowed.

       p: vector of probabilities. Missing values (NAs) are
          allowed.

       n: sample size. If `length(n)' is larger than 1, then
          `length(n)' random values are returned.

     fit: a list like the output from `logspline.fit'.

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

     densities (`dlogspline'), probabilities (`plogspline'),
     quantiles (`qlogspline'), or a random sample
     (`rlogspline') from a logspline density.

_D_E_S_C_R_I_P_T_I_O_N_:

     Density, cumulative probability, quantiles and random
     samples from a logspline density.

_S_i_d_e _E_f_f_e_c_t_s_:

     The  function  `rlogspline' causes creation of the
     dataset `.Random.seed' if it does not already exist,
     otherwise its value is updated.

_D_E_T_A_I_L_S_:_:

     Elements of `q' or `p' that are missing will cause the
     corresponding elements of the result to be missing.

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

     `logspline.fit', `logspline.plot', `logspline.summary'

