sinUG                  package:SIN                  R Documentation

_S_I_N _f_o_r _u_n_d_i_r_e_c_t_e_d _g_r_a_p_h_s

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

     This function computes the matrix of simultaneous p-values for SIN
     model selection for undirected (or concentration) graphs.

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

     sinUG(S,n)

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

       S: a covariance or correlation matrix.

       n: the sample size.

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

     A matrix of simultaneous p-values with 'NA' on the diagonal.

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

     Drton, M. & Perlman, M.D.  (2004)  Model Selection for Gaussian
     Concentration Graphs. _Biometrika_, to appear. 

      Drton, M. & Perlman, M.D.  (2004)  A SINful Approach to Gaussian
     Graphical Model Selection.  _Statistical Science_, to appear. 

      Drton, M. & Perlman, M.D.  (2003)  A SINful Approach to Model
     Selection for Gaussian Concentration Graphs. Department of
     Statistics, University of Washington, Technical Report 429.
      <URL:
     http://www.stat.washington.edu/www/research/reports/2003/tr429.pdf
     >

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

     'plotUGpvalues'

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

     data(fowlbones)
     sinUG(fowlbones$corr,fowlbones$n)
     holm(sinUG(fowlbones$corr,fowlbones$n))

