rstanarm 2.21.1-foss-2019b-R-3.6.2Estimates previously compiled regression models using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation.
Accessing rstanarm 2.21.1-foss-2019b-R-3.6.2
To load the module for rstanarm 2.21.1-foss-2019b-R-3.6.2 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load rstanarm/2.21.1-foss-2019b-R-3.6.2
BEAR Apps Version
EL8-cascadelake — EL8-haswell — Ubuntu20.04-haswell
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- bayesplot 1.7.1
- colourpicker 1.0
- dygraphs 188.8.131.52
- loo 2.3.1
- packrat 0.5.0
- RcppParallel 5.0.2
- rsconnect 0.8.16
- rstan 2.21.2
- rstanarm 2.21.1
- rstantools 2.1.1
- shinyjs 1.1
- shinystan 2.5.0
For more information visit the rstanarm website.
This version of rstanarm has a direct dependency on: foss/2019b R/3.6.2-foss-2019b V8/3.2.0-foss-2019b-R-3.6.2
Last modified on 31st July 2020