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rstanarm R package for Bayesian applied regression modeling

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We've received: > Dear maintainers, > > This concerns the CRAN packages > > BayesPostEst IRexamples bayesrules brada eefAnalytics evidence fbst > jmBIG rstanarm tidyposterior webSDM > > maintained by...

#### Summary: I could not install the survival branch of rstanarm on Windows and Mac, I need help to run my analysis. #### Description: Has somebody installed the survival branch...

#### Summary: The reason for having a new group level called "_NEW_" when performing stan_glmer #### Description: Why do we have a variable called b[(Intercept) Tree:_NEW_Tree]? When I ran the...

#### Summary: I downloaded rstanarm in my usual way and tried to run a stan_surv model with random effects and it errors. #### Description: When I run the example from...

CRAN is adding a warning if package version numbers are not strings (e.g. 2.26 vs '2.26'). This needs to be fixed in rstanarm's Makevars files.

#### Summary: Is it possible to make dynamic prediction for a multivariate mixed model without the survival component? #### Description: Hi, thanks for developing rstanarm and stan! I am interested...

#### Summary: I can't install the `feature/survival` branch on my Windows laptop. #### Description: ``` C:/Users/XXX/Documents/R-4.2.3/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] make: *** [C:/Users/XXX/DOCUME~1/R-42~1.3/etc/x64/Makeconf:258: stan_files/bernoulli.o]...

#### Summary: posterior_predict() fails with "newdata" argument. The issue is similar to issue #407 #### Description: The error being returned is "! pwrssUpdate did not converge in (maxit) iterations" ####...

#### Summary: `stan_lmer` cannot be used through namespacing (`rstanarm::stan_lmer`), which creates issues in packages depending on `rstanarm`. #### Description: `stan_lmer` cannot be used through namespacing (`rstanarm::stan_lmer`), because it generates an...

#### Summary: `posterior_predict` errors when supplying a stan_gamm4 binomial model with response specified as `cbind(success, failure)`. The error: ``` Error in cbind(incidence, size - incidence) : object 'incidence' not found...