R + ztable: what are lcl and ucl? (logistic regression) -


ztable produces nice zebra (alternating striped) tables, useful presenting dataframes , model objects (lm, glm, etc). it's not clear me lcl , ucl are. documentation says

‘ztable()’ shows odds ratio(or) , 95% confidence interval

but googling indicates lcl/ucl lower/upper control limits, seem confidence intervals constructed +/- 3 standard deviations mean.

most confusingly, lcl/ucl constructed ztable don't contain coefficient estimate:

ztable(glm(factor(am) ~ disp, family = binomial(link = "logit"), data = mtcars))

so lcl/ucl mean?

from examining source code ztable.glm (thanks @user2957945), answer seems simply:

‘ztable()’ shows odds ratio(or) , 95% confidence interval (lcl, ucl) of odds ratio

the odds ratio exponentiated coefficient (which logit or log odds), , lcl/ucl obtained exponentiating confidence interval of coefficient.


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