pack               package:vabayelMix               R Documentation

_P_r_o_f_i_l_e _a_n_a_l_y_s_i_s _u_s_i_n_g _C_l_u_s_t_e_r_i_n_g _a_n_d _K_u_r_t_o_s_i_s

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

     For a data matrix, selects features with kurtosis values in a
     specified range. Optionally, it further selects features based on
     whether their profiles are mixtures of gaussians or not.

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

      pack(data.m,kurt.range=c(-2,0),cluster=T,method=c("bic","vb"));

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

  data.m: Data matrix with features along the rows.

kurt.range: Desired range of kurtosis values.

 cluster: Logical, to indicate whether additional cluster learning step
          is desired.

  method: Character specifying model selection to be used
          (bic=EM-algorithm + BIC, vb=variational Bayesian + evidence
          bound).

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

     A list with the following components: 

     out: Matrix with rows labeling selected features and columns
          labeling kurtosis, cluster size and index position in data.m

   class: A list with non-null elements giving the clustering
          classification of the selected features.

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

     Andrew Teschendorff aet21@hutchison-mrc.cam.ac.uk

