LassoCMA-methods             package:CMA             R Documentation

_L_1 _p_e_n_a_l_i_z_e_d _l_o_g_i_s_t_i_c _r_e_g_r_e_s_s_i_o_n

_D_e_s_c_r_i_p_t_i_o_n:

     The Lasso (Tibshirani, 1996) is one of the most popular tools for
     simultaneous shrinkage and variable selection. Recently,
     Young-Park and Hastie (2007) have developped and algorithm to
     compute the entire solution path of the Lasso for an arbitrary
     generalized linear model, implemented in the package 'glmpath'.
     The method can be used for variable selection alone, s.
     'GeneSelection'

_M_e_t_h_o_d_s:



     _X = "_m_a_t_r_i_x", _y = "_n_u_m_e_r_i_c", _f = "_m_i_s_s_i_n_g" signature 1

     _X = "_m_a_t_r_i_x", _y = "_f_a_c_t_o_r", _f = "_m_i_s_s_i_n_g" signature 2

     _X = "_d_a_t_a._f_r_a_m_e", _y = "_m_i_s_s_i_n_g", _f = "_f_o_r_m_u_l_a" signature 3

     _X = "_E_x_p_r_e_s_s_i_o_n_S_e_t", _y = "_c_h_a_r_a_c_t_e_r", _f = "_m_i_s_s_i_n_g" signature 4

     For references, further argument and output information, consult
     'LassoCMA'.

