ranef.glmm.admb package:glmmADMB R Documentation
_E_x_t_r_a_c_t _R_a_n_d_o_m _E_f_f_e_c_t_s
_D_e_s_c_r_i_p_t_i_o_n:
Extract random effects from objects fitted with the function
'glmm.admb' and (optionally) their standard deviations.
_U_s_a_g_e:
ranef.glmm.admb(object, sd = FALSE)
_A_r_g_u_m_e_n_t_s:
object: An object (a fit) returned from 'glmm.admb'
sd: logical. If 'TRUE', the standard deviations of the random
effects are returned, rather than point estimates.
...: Further arguments passed on
_D_e_t_a_i_l_s:
The point estimates of the random effects are 'empirical Bayes'
estimates in the sense that the hyperparameters (fixed effects,
variance components etc) are fixed at their MLE's when the joint
likelihood is maximized with respect to the random effects.
However, uncertainty about the hyperparameters is taken into
account when the standard deviations of the random effects are
calculated.
_V_a_l_u_e:
A matrix of estimated random effects (or standard deviations).
_A_u_t_h_o_r(_s):
H. Skaug skaug@mi.uib.no, David Fournier otter@otter-rsch.com and
Anders Nielsen andersn@hawaii.edu
_S_e_e _A_l_s_o:
'glmm.admb'