myKest             package:InhomCluster             R Documentation

_E_s_t_i_m_a_t_i_o_n _o_f _K _f_u_n_c_t_i_o_n

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

     Estimation of K function for data on a rectangular observation
     window.

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

     myKest=function(data,lambda,maxt)

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

    data: a 'spatstat' 'ppp' point pattern object

  lambda: vector containing intensity for each point in data

    maxt: maximal distance t for which K(t) is estimated

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

     This function computes an estimate of the K-function using the
     translation invariant edge correction (Ohser, 1983). The procedure
     only works for point patterns observed within a rectangular
     observation window.

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

     A list with two components 't' and 'K' where 't' is the distances
     for which the K-function is estimated and 'K' is the estimate.

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

     Rasmus Waagepetersen rw@math.aau.dk <URL:
     http://www.math.aau.dk/~rw>

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

     Ohser, J. (1983) On estimators for the reduced second moment
     measure of point processes. _Mathematische Operationsforschung und
     Statistik, series Statistics_, *14*, 63 - 71.

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

     'myKest.cross',  'mygest',

