wasmr
rstan
| wasmr | rstan | |
|---|---|---|
| 1 | 8 | |
| 74 | 1,008 | |
| - | 1.1% | |
| 0.0 | 7.7 | |
| about 4 years ago | 15 days ago | |
| C++ | R | |
| GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
wasmr
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Announcing Wasmer 1.0, the mature & fast WebAssembly runtime; with 3 compilers, 2 engines and ton of new features!
Not to add more confusion but to promote a cool project, there is wasmr which allows to run WebAssembly inside R, just like Wasmer Python embedding allows to run WebAssembly inside Python. Just wanted to mention this project because we are talking about R :-).
rstan
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R packages in Colab - either speed up install, or import library?
I have a Colab notebook with an R kernel that I'm using to share with students for remote lessons in statistics. This notebook relies on "rstanarm", which is pretty massive with the number of dependencies - it takes ~50minutes to install into a fresh Colab session with install.packages(). It seems the issue is that many of the dependencies of this package need to be compiled from source, which takes a long time on Linux distributions like Colab.
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Help troubleshooting a an error in a brms Regression
You need to install the preview version of rstan: https://github.com/stan-dev/rstan/wiki/Configuring-C---Toolchain-for-Windows
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Time series tutorial series
If you're on Windows, there are extra hoop to jump through, I'm afraid https://github.com/stan-dev/rstan/wiki/
- [S] Pyro/Numpyro or Stan for Bayesian modeling?
- Why does rstan depend on V8?
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Help with error running stan model using brms package
And here are the instructions on how to build RStan from source: https://github.com/stan-dev/rstan/wiki
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trouble installing rstan on mac
I ran the R code from here
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Looking to do Bayesian two-way ANOVA - can someone point me in the right direction?
In R, the rstanarm package should do you well. You'll need to install rstan and make sure you have a C++ complier set up as well (instructions here: https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started)
What are some alternatives?
SSVM - WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.
brms - brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
wabt - The WebAssembly Binary Toolkit
MultiBUGS - Multi-core BUGS for fast Bayesian inference of large hierarchical models
asm-dom - A minimal WebAssembly virtual DOM to build C++ SPA (Single page applications)
paramonte - ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
SoftwareRenderer - Software rendering engine with PBR. Built from scratch on C++.
stan - Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
vroom - Fast reading of delimited files
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
readxl - Read excel files (.xls and .xlsx) into R 🖇