Statistics
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 1 ```anova.glmm.admb package:glmmADMB R Documentation ``` ```_A_n_o_v_a _f_o_r _g_l_m_m._a_d_m_b _o_b_j_e_c_t_s ``` ```_D_e_s_c_r_i_p_t_i_o_n: ``` ``` Calculate an anova table from a series of model fits ``` ```_U_s_a_g_e: ``` ``` anova.glmm.admb(object, ...) ``` ```_A_r_g_u_m_e_n_t_s: ``` ``` object: A model fit returned from 'glmm.admb' ``` ``` ...: One or more model fits with same random effects ``` ```_D_e_t_a_i_l_s: ``` ``` Basic anova table for testing the fixed effects (may be extended ``` ``` later) ``` ```_V_a_l_u_e: ``` ``` An anova table ``` ```_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 ``` ```_E_x_a_m_p_l_e_s: ``` ``` data(epil2) ``` ``` f1<-glmm.admb(y~Base*trt+Age+Visit,random=~Visit,group="subject",data=epil2,family="nbinom") ``` ``` f2<-glmm.admb(y~Base*trt+Age,random=~Visit,group="subject",data=epil2,family="nbinom") ``` ``` anova(f2,f1) ```