csimtest              package:multcomp              R Documentation

_S_i_m_u_l_t_a_n_e_o_u_s _C_o_m_p_a_r_i_s_o_n_s _B_a_s_e_d _o_n _P_a_r_a_m_e_t_e_r _E_s_t_i_m_a_t_e_s.

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

     Computes multiplicity adjusted p-values based on precomputed
     parameter estimates.

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

     csimtest(estpar, df, covm, cmatrix = NULL, 
              ctype = "user-defined", ttype = c("free", "logical"), 
              alternative = c("two.sided", "less", "greater"), 
              asympt = FALSE, eps = 0.001, maxpts = 1e+06)

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

  estpar: estimated parameter vector. 

      df: degrees of freedom. 

    covm: estimated covariance matrix of 'estpar'. 

 cmatrix: contrast matrix. 

   ctype: a string decribing the kind of contrast matrix used. Only
          used for printing in 'print.hmtestp'. 

   ttype: Specifies whether the logical contraint method  of Westfall
          (1997) will be used, or whether the uncontrained  method will
          be used.

alternative: the alternative hypothesis must be one of '"two.sided"'
          (default), '"greater"' or '"less"'.  You can specify just the
          initial letter. 

  asympt: a logical indicating whether the (exact) t-distribution or
          the normal approximation should be used.

     eps: absolute error tolerance as double.

  maxpts: maximum number of function values as integer.

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

     This is the work-horse for 'simtest'. If only parameter estimates
     and estimates of the (co)variances are available, adjusted
     p-values can be computed with this low-level function. See
     'cholesterol' for an example.

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

     an object of class 'hmtestp'

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

     Frank Bretz <bretz@ifgb.uni-hannover.de> and  
       Torsten Hothorn <Torsten.Hothorn@rzmail.uni-erlangen.de>

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

     Peter Westfall (1997), Multiple testing of general contrasts using
     logical constraints and correlations, _Journal of the American
     Statistical Association_, *92*(437), 299-306.

     Frank Bretz, Alan Genz and Ludwig A. Hothorn (2001), On the
     numerical  availability of multiple comparison procedures.
     _Biometrical Journal_, *43*(5), 645-656.

