ciTools
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jthaman
An R Package for Quick Uncertainty Intervals
I saw the add_quatile() function briefly. Maybe I'm wrong but the quantiles are done by simulation. Is it possible to do for the quasibinomial() family? I could make a pull...
Hi, I seem to have trouble installing ciTools package. I've tried the three different ways suggested but keep getting the error message as the screenshot. Any suggestions are appreciated! 
I would like to have some methods for inflated Poisson and NegBin models. I'm not sure how these models are commonly fit in R (what package or functions are used?)....
Very useful package. I have a minor suggestion: in `add_pi` (and possibly other functions - I haven't checked), an error is thrown if `tb` does not include a column for...
Deleted response from extracted formula so unnecessary response column isn't required in new data. Specified x-levels in model.frame to increase robustness to incorrectly ordered factors in new data.
This fixes #52 by setting factor levels to NA when they are not part of the data that are fit in the update. (It should be compatible with PR #51...
Related to #51, remove extraneous function switching from `boot_fit_nb()` to `boot_fit()` to ensure fix for `update()` works throughout.
Fix #27 (though only minimally) While creating #51 and #53, I wanted to create tests, but I didn't see a testing framework used. Then I saw #27, so I thought...
When factor levels are missing from a model, no surprise, it cannot predict rows with that factor level. The issue comes from the use of `predict()` in those models updated...
For certain methods like add_pi.glm and add_quantile.glm, a small parametric bootstrap is performed to generate the desired statistic. Presently if these two methods are used, a separate simulation is run...