minsize                 package:fpc                 R Documentation

_M_i_n_i_m_u_m _s_i_z_e _o_f _r_e_g_r_e_s_s_i_o_n _f_i_x_e_d _p_o_i_n_t _c_l_u_s_t_e_r

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

     Computes the minimum size of a fixed point cluster (FPC) which is
     found at least 'mtf' times with approximated probability 'prob' by
     'ir' fixed point iterations of 'fixreg'.

     Thought for use within 'fixreg'.

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

     minsize(n, p, ir, mtf, prob = 0.5)

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

       n: positive integer. Total number of points.

       p: positive integer. Number of independent variables.

      ir: positive integer. Number of fixed point iterations.

     mtf: positive integer.

    prob: numerical between 0 and 1.

_D_e_t_a_i_l_s:

     The computation is based on the binomial distribution with
     probability given by 'clusexpect' with 'ir=1'.

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

     An integer.

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

     Christian Hennig chrish@stats.ucl.ac.uk <URL:
     http://www.homepages.ucl.ac.uk/~ucakche/>

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

     Hennig, C. (2002) Fixed point clusters for linear regression:
     computation and comparison, _Journal of Classification_ 19,
     249-276.

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

     'fixreg', 'clusexpect', 'itnumber'

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

       minsize(500,4,7000,2)

