b50, p50 and b64           package:geoRglm           R Documentation

_S_i_m_u_l_a_t_e_d _D_a_t_a _s_e_t_s _w_h_i_c_h _I_l_l_u_s_t_r_a_t_e _t_h_e _U_s_a_g_e _o_f _t_h_e _P_a_c_k_a_g_e _g_e_o_R_g_l_m

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

     The simulated data sets 'b50' and 'p50' are used in several
     examples throughout the package documentation. The simulated data
     set 'b64' was used in Diggle, Ribeiro and Christensen (2003), and
     Christensen and Ribeiro (2002).

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

     data(b50)
     data(p50)
     data(b64)

_F_o_r_m_a_t:

     The object is a list with the following components:

     '_c_o_o_r_d_s' the coordinates of data locations.  

     '_d_a_t_a' the simulated data from the binomial-logit normal model for
          'b50' and 'b64', and the simulated data from the Poisson-log
          normal model for 'p50'.  

     '_u_n_i_t_s._m' n-dimensional vector giving the number of trials for
          'b50'  and 'b64', and the observation times for 'p50'.  

     '_c_o_v._m_o_d_e_l' the correlation model used for the simulation.  

     '_n_u_g_g_e_t' the values of the 'nugget' parameter used for the
          simulation.  

     '_c_o_v._p_a_r_s' the covariance parameters used for the simulation.  

     '_k_a_p_p_a' the value of the smoothness parameter kappa used for the
          simulation.  

_S_o_u_r_c_e:

     Simulated data sets.

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

     Peter J. Diggle, Paulo J. Ribeiro and Ole F. Christensen (2003).
     An introduction to model-based geostatistics. In : _Spatial
     statistics and computational methods_ (ed. J. Mller), Springer
     Verlag, 43-86.

     Christensen, O. F. and Ribeiro Jr, P. J. (2002). geoRglm - a
     package for generalised linear spatial models. _R News_, 2(2),
     26-28.

     Further information about *geoRglm* can be found at:
      <URL: http://www.daimi.au.dk/~olefc/geoRglm>.

