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But it has trouble computing confidence intervals because the underlying method from stats fails:
# confidence intervals?broom::tidy(mod, conf.int=TRUE)
#> Error in qt(a, object$df.residual): Non-numeric argument to mathematical function# is there even a method for this?
confint(mod)
#> Error in qt(a, object$df.residual): Non-numeric argument to mathematical function
The glance and augment methods also fail:
# glance?broom::glance(mod)
#> Error in eval_tidy(xs[[i]], unique_output): object 'r.squared' not found# augment?broom::augment(mod, data=electors)
#> Error: Can't augment data with observation level measures.#> Did you provide `data` with the exact data used for model fitting?
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broom
currently doesn't supportmclogit
objects. But because these objects also inheritlm
, the tidier seems to work.But it has trouble computing confidence intervals because the underlying method from
stats
fails:The
glance
andaugment
methods also fail:Created on 2019-08-09 by the reprex package (v0.3.0)
Session info
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