itnumber                 package:fpc                 R Documentation

_N_u_m_b_e_r _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 _i_t_e_r_a_t_i_o_n_s

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

     Computes the number of fixed point iterations needed by 'fixreg'
     to find 'mtf' times a fixed point cluster (FPC) of size 'cn' with
     an approximated probability of 'prob'.

     Thought for use within 'fixreg'.

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

     itnumber(n, p, cn, mtf, prob = 0.95, maxir = 20000)

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

       n: positive integer. Total number of points.

       p: positive integer. Number of independent variables.

      cn: positive integer smaller or equal to 'n'. Size of the FPC.

     mtf: positive integer.

    prob: number between 0 and 1.

   maxir: positive integer. 'itnumber' is set to this value if it would
          otherwise be larger.

_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'

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

       itnumber(500,4,150,2)

