EBList-class              package:edgeR              R Documentation

_d_i_f_f_e_r_e_n_t_i_a_l _e_x_p_r_e_s_s_i_o_n _o_f _D_i_g_i_t_a_l _G_e_n_e _E_x_p_r_e_s_s_i_o_n _d_a_t_a - _c_l_a_s_s

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

     A simple list-based class for storing results of the approximate
     empirical Bayes rule parameters

_S_l_o_t_s/_L_i_s_t _C_o_m_p_o_n_e_n_t_s:

     Objects of this class contain the following list components:

       'sigma2.0.est':  numeric scale 'sigma_0^2' estimate.
       'alpha':         numeric scalar alpha estimate.
       'score':         numeric scalar (likelihood) score.
       'inos':          numeric vector containing the (likelihood) information.
       'exact':         list containing info with respect to quantile adjustment.

_M_e_t_h_o_d_s:

     This class inherits directly from class 'list' so any operation
     appropriate for lists will work on objects of this class. 'EBList'
     objects also have a 'show' method.

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

     Mark Robinson

