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rstanarm R package for Bayesian applied regression modeling

Results 144 rstanarm issues
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Recent work on improving MI by using rstanarm means we would ideally need a quantile regression or similar to impute common but difficult distributions (like income).

feature

Whenever we release **rstantools** 2.0.0 is released (https://github.com/stan-dev/rstantools/pull/44) build process and directory structure won't match what we currently have in **rstanarm**. @bgoodri were you thinking we would change **rstanarm** to...

#### Summary: After / during the feature/2.17 is merged, we need to figure out how to build rstanarm with LTO whenever possible. #### Description: Adding `-flto=8` to the ~/.R/Makevars reduces...

I'm strongly in favor of this. Here are pros/cons: #### Reason to require the `data` argument: * Not requiring the `data` argument when specifying a model leads to all sorts...

question

#### Summary: The offsets don't work right in stan_gamm4. The example here is for a gaussian family, but it is particularly harmful in poisson regression. #### Description: Specifying an offset...

#### Summary: Currently loo object from rstanarm::loo shows elpd_loo, p_loo, looic and SEs for those. Add more model specific and easier to interpret info. #### Description: - [ ] For...

feature
new dev friendly

I usually start scripting my analyses with other algorithms, such as meanfield, make sure the script is running smoothly and without errors, and only then replace meanfield with "sampling" and...

#### Summary / Description: I fit a number of models in parallel via `parallel::clusterMap`. When trying to use `posterior_predict` outside the cluster, I receive the following error > Error in...

I get the following error if I use the "." operator to include all remaining variables in stan_gamm4: ``` Error in terms.formula(gf, specials = c("s", "te", "ti", "t2", extra.special)) :...

bug
minor bug

`rstanarm` appears to fail when entering a polynomial parameter: ## This works ```r rstanarm::stan_gamm4(Sepal.Width ~ Sepal.Length + s(Petal.Width), random=~(1|Species), data=iris) ``` ## This doesn't ```r rstanarm::stan_gamm4(Sepal.Width ~ poly(Sepal.Length, 2) +...

bug