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`pd` documentation states that
> It varies between 50% and 100% (i.e., 0.5 and 1)
However, when exactly 0 has high credibility, it is actually possible to go below 50%.
This can happen when us…
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In light of https://github.com/easystats/insight/issues/284.
Only to be attended once #92 is closed.
- [x] insight
- [x] modelbased
- [x] bayestestR
- [ ] effectsize
- [x] parameters
- [x]…
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Hi thank you for the package and hard work, it seems flexible and helpful post model fitting.
I've been experimenting with the regrid methods. Looking at the bias adjusted incidence probabilities f…
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It seems as if `emmeans` support for `rstanarm` models does not work with beta regression family, `family = mgcv::betar`.
```r
library("rstanarm")
library("emmeans")
data("GasolineYield", packa…
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#### Summary
I want to know how to specify several independent priors in the `stan_glm()` function.
#### Description:
I am using the function `stan_glm()` in R. I am using 4 predictor variables…
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Basically I'd like to make predictions without random factors in the data (a fairly common case), but it fails.
``` r
x
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Yu Sung,
Any chance we could get a horseshoe prior added to bayesglm? Vincent Dorie graciously did something similar for blme, but it would also be great to have arm offer this option too. Thanks …
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From @topepo's AML workshop, when calling `tidy()` on the result of `step_zv()` you get the following error.
```r
Error in `$
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@bgoodri Can we tag a release? Do you have anything locally that still needs to be pushed?