pSchlitt               package:maxstat               R Documentation

_A_p_p_r_o_x_i_m_a_t_i_n_g _M_a_x_i_m_a_l_l_y _S_e_l_e_c_t_e_d _S_t_a_t_i_s_t_i_c_s

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

     Approximates the probability that a maximally selected rank
     statistic is greater or equal to `b'.

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

     pSchlitt(b, N, m, method=c("genz", "drezner"))
     qSchlitt(p, N, m)

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

     Method based on a paper by Schlittgen. There are doubts if this
     works as advertised.

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

     The probability that, under the hypothesis of independence, a
     maximally selected statistic greater equal `b' is observed.

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

     Torsten Hothorn <Torsten.Hothorn@rzmail.uni-erlangen.de>

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

     Schlittgen, R. (1999). Regression Trees for Survival Data - an
     Approach to Select Discontinuous Split Points by Rank Statistics.
     Biometrical Journal, 41(8), 943-954.

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

     # no example given in the paper!

     pSchlitt(2.5, N = 200, m = seq(from=50, to=150, by=10))

