Baldur                package:Baldur                R Documentation

_B_a_l_d_u_r - _B_a_y_e_s_i_a_n _L_o_g_i_c_a_l _D_e_c_i_s_i_o_n_s _f_o_r _U_n_c_e_r_t_a_i_n_t_y _a_n_d _R_i_s_k

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

     'Baldur' A Bayesian Package for R that allows for iid sampling in
     Bayesian Generalized Linear Models.

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

     Makes use of the likelihood subgradient density accept/reject
     procedure of Nygren and Nygren (2006) in order to generate iid
     samples from the posterior density of a Bayesian Logit model with
     a multivariate normal prior. If the posterior density is close to
     multivariate normal, then the expected number of draws should be
     approximately equal to $(2/sqrt{pi})^{k}$.

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

     Kjell Nygren knygren@us.imshealth.com

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

     Nygren and Nygren (2006) Likelihood Subgradient Densities.
     Upcoming \textit{Journal of American Statistical Association}

