distribution              package:coin              R Documentation

_D_i_s_t_r_i_b_u_t_i_o_n _u_n_d_e_r _t_h_e _N_u_l_l _H_y_p_o_t_h_e_s_i_s

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

     Specification of the exact, or approximation of the exact,
     conditional distribution of test statistics under the null
     hypothesis.

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

     exact(algorithm = c("shift", "split-up"), fact = NULL)
     approximate(B = 1000)
     asymptotic(maxpts = 25000, abseps = 0.001, releps = 0)

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

algorithm: a character, specifying the algorithm to be used for the
          computation of the exact conditional distribution.

    fact: a positive integer to multiply the response values with. 

       B: a positive integer, the number of Monte-Carlo replications to
          approximate the exact conditional distribution.

  maxpts: a positive integer, the maximum number of function  values,
          see 'pmvnorm'.

  abseps: double, the absolute error tolerance,  see 'pmvnorm'.

  releps: double, relative error tolerance,  see 'pmvnorm'.

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

     The 'distribution' argument to 'independence_test'  can be
     specified with additional arguments using those functions.

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

     An object of class 'exact', 'approximate' or 'asymptotic',
     respectively.

