pplik                package:spatial                R Documentation

_P_s_e_u_d_o-_l_i_k_e_l_i_h_o_o_d _E_s_t_i_m_a_t_i_o_n _o_f _a _S_t_r_a_u_s_s _S_p_a_t_i_a_l _P_o_i_n_t _P_r_o_c_e_s_s

_D_e_s_c_r_i_p_t_i_o_n:

     Pseudo-likelihood estimation of a Strauss spatial point process.

_U_s_a_g_e:

     pplik(pp, R, ng=50, trace=FALSE)

_A_r_g_u_m_e_n_t_s:

      pp: a pp object 

       R: the fixed parameter 'R' 

      ng: use a 'ng'  x  'ng' grid with border 'R' in the domain for
          numerical integration. 

   trace: logical? Should function evaluations be printed? 

_V_a_l_u_e:

     estimate for 'c' in the interval '[0, 1]'.

_R_e_f_e_r_e_n_c_e_s:

     Ripley, B. D. (1988) _Statistical Inference for Spatial
     Processes._ Cambridge.

     Venables, W. N. and Ripley, B. D. (2002) _Modern Applied
     Statistics with S._ Fourth edition.  Springer.

_S_e_e _A_l_s_o:

     'Strauss'

_E_x_a_m_p_l_e_s:

     pines <- ppinit("pines.dat")
     pplik(pines, 0.7)

