> model_full2 <- glmer(cat_SNB_new ~ 0 + developmentaldisorder_SNB * Condition_SNB -1 + (1+developmentaldisorder_SNB|subject_SNB), + data = s_complete, family = binomial) Warning messages: 1: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : unable to evaluate scaled gradient 2: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : Model failed to converge: degenerate Hessian with 1 negative eigenvalues
> model_full2 <- glmer(cat_SNB_new ~ 0 + developmentaldisorder_SNB * Condition_SNB -1 + (1|subject_SNB), + data = s_complete, family = binomial) Warning messages: 1: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : unable to evaluate scaled gradient 2: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : Model failed to converge: degenerate Hessian with 1 negative eigenvalues 3: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : Model is nearly unidentifiable: very large eigenvalue - Rescale variables?;Model is nearly unidentifiable: large eigenvalue ratio - Rescale variables?