I am new to rstan and rstanarm. I have been able to successfully follow: https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started to get started. I have installed rstan and rstanarm (Cran) and have been able to succesfully run models with rstanarm (e.g. stan_glm). However, I now want to acce…

This is an awesome answer. I had the same difficulties with installing rstanarm as other people mentioned above and this fixed it. Could it be mentioned on the GitHub page for the survival branch - it would’ve saved many people a lot of time (around 8 hours in my case till I randomly found this rep…

@Frantisek_Bartos Yeah you are right – this should really be documented somewhere more obvious. And sorry it wasn’t at the time you went through this! I’ve opened a PR to add this to the README, see here: https://github.com/stan-dev/rstanarm/pull/501 . Hopefully @bgoodri and @jonah are happy to add …

Thanks a lot! Especially for developing these awesome features!

I finally was able to install it (after months and trying for many hours) using: install.packages("rstanarm", repos = c("https://mc-stan.org/r-packages/", getOption("repos"))) Thanks, @rok_cesnovar !

If somebody reads this topic and his/her models do not run, causing R to crash, this thread provides a solution: Stan_surv crashes R repeatedly - #13 by binman Everything is up-to-date, rstan models and non-survival models of rstanarm run; however, survival functionality of rstanarm is not working.…

I am installing with the below command in my R which runs under Ubuntu: install.packages(“rstanarm”, repos = c(“ Repository for distributing (some) stan-dev R packages | r-packages ”, getOption(“repos”))) g++: internal compiler error: Killed (program cc1plus) Please submit a full bug report, with …

This error can occur when your computer runs out of memory during compilation. As part of the installation rstanarm compiles several stan models, each requiring ~3gb of RAM. If you have specified some level of parallelism in the build, then this can quickly use up your available RAM. Try installing…

I follow your instructions to run those 2 lines of code and get below: /home/Hutchinson/R/x86_64-pc-linux-gnu-library/4.1/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [w…

How much memory/RAM does your computer have? Are you able to run the RStan example model: example(stan_model,package="rstan",run.dontrun=T)

Rstanarm: CRAN vs Development version installation issues

Interfaces rstanarm

sambrilleman March 27, 2021, 10:48pm 51

Glad that other post had the solution! I was about to suggest it may be related. The tve() function use b-splines under the hood.

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Rstanarm: CRAN vs Development version installation issues

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