Waldtest                package:MCPAN                R Documentation

_S_i_m_u_l_t_a_n_e_o_u_s _W_a_l_d _t_e_s_t_s

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

     General function for adjusted p-values for an UIT in a one-way
     layout using multivariate normal distribution.

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

     Waldtest(estp, varp, cmat, alternative = "greater")

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

    estp: numeric vector of point estimates of length I, with I = the
          number of samples

    varp: numeric vector of variance estimates of length I, to be used
          for interval construction 

    cmat: Contrast matrix of dimension MxI, with M = the number of
          contrasts, I= the number of samples 

alternative: character string 

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

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

     A list containing: 

teststat: a numeric vector of teststatistics of length M

    pval: a single numeric p-value, the p-value of the maximum test
          (minimum p-value)

p.val.adj: a vector of length M, the adjusted p-values of the single
          contrasts

alternative: a single character vector, as the input

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

     Frank Schaarschmidt

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

     For user level implementations see:

     'binomRDtest', 'poly3test'

