dst                  package:NORMT3                  R Documentation

_D_e_n_s_i_t_y _f_u_n_c_t_i_o_n _o_f _s_p_h_e_r_e_d _S_t_u_d_e_n_t'_s _t _d_i_s_t_r_i_b_u_t_i_o_n

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

     Evaluates probability density function of sphered Student's t
     distribution on nu degrees of freedom. This is just the standard
     Student's t distribution rescaled to have unit variance.

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

     dst(x, nu = 3)

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

       x: Where to evaluate the density

      nu: The degrees of freedom 

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

     Description says it all.

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

     The appropriate probability density.

_A_u_t_h_o_r(_s):

     Guy Nason

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

     Nason, G.P. (2001) Robust projection indices. _Journal of the
     Royal Statistical Society_, Series B, *63*, 551-567.

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

     'dnorm', 'dnormt3'

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

     dst(0)
     #
     # Should be  2/pi = 0.6366198
     #
     x <- seq(from=-5, to=5, length=100)
     plot(x, dst(x), type="l")       # Produces a density plot

