etahat              package:calibrator              R Documentation

_E_x_p_e_c_t_a_t_i_o_n _o_f _c_o_m_p_u_t_e_r _o_u_t_p_u_t

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

     Returns the apostiori expectation of the computer program at a
     particular point with a particular set of parameters, given the
     code output.

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

     etahat(D1, D2, H1, y, E.theta, extractor, phi)

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

      D1: Matrix of code observation points and parameters

      D2: Matrix of field observation points

      H1: Basis functions

       y: Point at which code's expectation is calculated (for
          'etahat.individual')

 E.theta: expectation wrt theta

extractor: Extractor function

   theta: Parameters

     phi: Hyperparameters

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

     Robin K. S. Hankin

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

     M. C. Kennedy and A. O'Hagan 2001. "Bayesian calibration of
     computer models".  Journal of the Royal Statistical Society B,
     63(3) pp425-464

     M. C. Kennedy and A. O'Hagan 2001.  "Supplementary details on
     Bayesian calibration of computer models", Internal report,
     University of Sheffield.  Available at <URL:
     http://www.shef.ac.uk/~st1ao/ps/calsup.ps>

     R. K. S. Hankin 2005. "Introducing BACCO, an R bundle for Bayesian
     analysis of computer code output", Journal of Statistical
     Software, 14(16)

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

     'p.page4'

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

     data(toys)

     etahat(D1=D1.toy, D2=D2.toy, H1=H1.toy, y=y.toy, E.theta=E.theta.toy,
     extractor=extractor.toy, phi=phi.toy)

