issue618 | R Documentation |
Three variables, being one dichotomous, other continuous and the last,
categorical. Data for the first reproducible example for issue 618 on
the lme4 Github-repository, making glmer
to produce a
Model is nearly unidentifiable: very large eigenvalue - Rescale variables?
warning for the model outcome_dead ~ AGE +
(1|ZIP)
.
data("issue618")
A data frame with 1000 observations on the following 3 variables.
outcome_dead
an integer vector
AGE
an integer vector
ZIP
an integer vector
convergence issues with continuous variables in model
data(issue618)
str(issue618)
library(lme4)
m1<- glmer(outcome_dead ~ AGE + (1|ZIP), family = binomial, data = issue618)
summary(m1)
m2 <- dwmw(m1, scale = TRUE)
summary(m2)
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