epil2                package:glmmADMB                R Documentation

_S_e_i_z_u_r_e _C_o_u_n_t_s _f_o_r _E_p_i_l_e_p_t_i_c_s

_D_e_s_c_r_i_p_t_i_o_n:

     Extended version of the 'epil' dataset of the MASS library.  The
     three transformed variables 'Visit', 'Base' and 'Age' used by
     Booth et al. (2003) have been added to 'epil'.

_U_s_a_g_e:

     data(epil2)

_F_o_r_m_a_t:

     A data frame with 236 observations on the following 12 variables.

     '_y' a numeric vector

     '_t_r_t' a factor with levels 'placebo' 'progabide'

     '_b_a_s_e' a numeric vector

     '_a_g_e' a numeric vector

     '_V_4' a numeric vector

     '_s_u_b_j_e_c_t' a numeric vector

     '_p_e_r_i_o_d' a numeric vector

     '_l_b_a_s_e' a numeric vector

     '_l_a_g_e' a numeric vector

     _V_i_s_i_t (rep(1:4,59)-2.5)/5

     _B_a_s_e log(base/4)

     _A_g_e log(age)

_R_e_f_e_r_e_n_c_e_s:

     Booth et al. (2003) Negative binomial loglinear mixed models 
     STATISTICAL MODELLING 3 (3): 179-191

_E_x_a_m_p_l_e_s:

     data(epil2)

