# STEPWIZE: 0 # lhs: dead # rhs: 1 date score genet height distance density # formula(AIC = 3992.23): dead ~ 1 + date + score + genet + height + distance + density # formula(AIC = 4799.13): dead ~ 1 + score + genet + height + distance + density # formula(AIC = 4098.30): dead ~ 1 + date + genet + height + distance + density # formula(AIC = 4034.11): dead ~ 1 + date + score + height + distance + density # formula(AIC = 3992.51): dead ~ 1 + date + score + genet + distance + density # formula(AIC = 3989.43): dead ~ 1 + date + score + genet + height + density # formula(AIC = 3990.73): dead ~ 1 + date + score + genet + height + distance # model AIC distance 3989.43 density 3990.73 3992.23 height 3992.51 genet 4034.11 score 4098.30 date 4799.13 #----------------------------------------------------------------------------- # STEPWIZE: 1 # lhs: dead # rhs: 1 date score genet height distance density # formula(AIC = 3989.43): dead ~ 1 + date + score + genet + height + density # formula(AIC = 4797.59): dead ~ 1 + score + genet + height + density # formula(AIC = 4093.23): dead ~ 1 + date + genet + height + density # formula(AIC = 4035.91): dead ~ 1 + date + score + height + density # formula(AIC = 3993.48): dead ~ 1 + date + score + genet + density # formula(AIC = 3988.51): dead ~ 1 + date + score + genet + height # model AIC density 3988.51 3989.43 height 3993.48 genet 4035.91 score 4093.23 date 4797.59 #----------------------------------------------------------------------------- # STEPWIZE: 2 # lhs: dead # rhs: 1 date score genet height distance density # formula(AIC = 3988.51): dead ~ 1 + date + score + genet + height # formula(AIC = 4795.90): dead ~ 1 + score + genet + height # formula(AIC = 4091.14): dead ~ 1 + date + genet + height # formula(AIC = 4041.16): dead ~ 1 + date + score + height # formula(AIC = 3990.19): dead ~ 1 + date + score + genet # model AIC 3988.51 height 3990.19 genet 4041.16 score 4091.14 date 4795.90 #----------------------------------------------------------------------------- # formula(AIC = 3988.51): dead ~ 1 + date + score + genet + height Call: glmmML(formula= as.formula(formula.str), data = data, cluster = cluster, family = binomial(logit), start.sigma = start.sigma) coef se(coef) z Pr(>|z|) (Intercept) -14.050877 0.528961 -26.5632 0.00e+00 date 0.061208 0.002555 23.9598 0.00e+00 score 0.467188 0.043647 10.7038 0.00e+00 genetG 1.415387 0.227585 6.2192 5.00e-10 genetI 0.622016 0.236062 2.6350 8.41e-03 genetQ -0.579595 0.273484 -2.1193 3.41e-02 genetc1 4.411689 0.353970 12.4634 0.00e+00 genetc2 -0.097885 0.377600 -0.2592 7.95e-01 height -0.007128 0.002866 -2.4867 1.29e-02 Standard deviation in mixing distribution: 1.386 Std. Error: 0.08303 Residual deviance: 3969 on 7978 degrees of freedom AIC: 3989