logregmodel             package:LogicReg             R Documentation

_F_o_r_m_a_t _o_f _c_l_a_s_s _l_o_g_r_e_g_m_o_d_e_l

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

     This help file contains a description of the format of class
     logregmodel.

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

     logregmodel()

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

     An object of class logregtree has the following components: 

  ntrees: the number of trees in the current model.

 nleaves: the number of leaves for the fitted model.

    coef: the coefficients for this model.

   score: the score of the fitted model.

   trees: a list of 'ntrees' objects of class 'logregtree'.

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

     Ingo Ruczinski ingo@jhu.edu and Charles Kooperberg clk@fhcrc.org.

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

     Ruczinski I, Kooperberg C, LeBlanc ML (2003).  Logic Regression,
     _Journal of Computational and Graphical Statistics_, *12*,
     475-511.

     Ruczinski I, Kooperberg C, LeBlanc ML (2002).  Logic Regression -
     methods and software.  _Proceedings of the MSRI workshop on
     Nonlinear Estimation and Classification_ (Eds: D. Denison, M.
     Hansen, C. Holmes, B. Mallick, B. Yu), Springer: New York,
     333-344.

     Kooperberg C, Ruczinski I, LeBlanc ML, Hsu L (2001). Sequence
     Analysis using Logic Regression, _Genetic Epidemiology_, *21*,
     S626-S631.

     Selected chapters from the dissertation of Ingo Ruczinski,
     available from <URL:
     http://bear.fhcrc.org/~ingor/logic/documents/myphd-logic.pdf>

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

     'logreg', 'plot.logregmodel', 'print.logregmodel', 'logregtree'

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

     logregmodel()       # displays this help file
     help(logregmodel)   # equivalent

