Closed scherbakovdmitri closed 7 months ago
Hello all, thanks for helpful package, glmer didn't converge, I am glad I found yours. But I have a problem, here is my model
`m2=GLMMadaptive::mixed_model(fixed=screen.completed~Variable ,control = list(#max_coef_value=1000,iter_EM=1000,iter_qN_outer=1000, verbose=T,
update_GH_every=40 ), random=~1|Department, na.action=na.fail, data=data ,family=binomial(link='log')
)`
when I view summary I get error, so how do I plot confidence intervals for coefficients? Looks like the problem is only with log link function.
summary(m2) Error in solve.default(object$Hessian) : Lapack routine dgesv: system is exactly singular: U[1,1] = 0
The model has not successfully converged.
Hello all, thanks for helpful package, glmer didn't converge, I am glad I found yours. But I have a problem, here is my model
`m2=GLMMadaptive::mixed_model(fixed=screen.completed~Variable ,control = list(#max_coef_value=1000,iter_EM=1000,iter_qN_outer=1000, verbose=T,
iter_qN=100,
)`
when I view summary I get error, so how do I plot confidence intervals for coefficients? Looks like the problem is only with log link function.
summary(m2) Error in solve.default(object$Hessian) : Lapack routine dgesv: system is exactly singular: U[1,1] = 0