Waldci                 package:MCPAN                 R Documentation

_S_i_m_u_l_t_a_n_e_o_u_s _W_a_l_d _c_o_n_f_i_d_e_n_c_e _i_n_t_e_r_v_a_l_s

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

     General function for simultaneous CIs in a one-way layout using
     multivariate normal distribution.

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

     Waldci(cmat, estp, varp, varcor, alternative = "two.sided", conf.level = 0.95)

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

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

    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 

  varcor: numeric vector of variance estimates of length I 

alternative: character string 

conf.level: single numeric vector 

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

     Mainly for internal use.

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

     A list containing: 

conf.int : a matrix with 2 columns: lower and upper confidence bounds,
          and M rows

alternative : character string, as input

conf.level: single numeric value, as input

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

     Frank Schaarschmidt

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

     For user level implementations see:  'binomRDci',  'binomORci',
     'poly3ci'

