r-bigsimr
Simulate arbitrary multivariate distributions (by SchisslerGroup)
JuliaCall
Embed Julia in R (by Non-Contradiction)
| r-bigsimr | JuliaCall | |
|---|---|---|
| 2 | 3 | |
| 2 | 260 | |
| - | - | |
| 5.5 | 0.6 | |
| 3 months ago | 29 days ago | |
| R | HTML | |
| MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
r-bigsimr
Posts with mentions or reviews of r-bigsimr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-23.
-
Is it possible to create a Python package with Julia and publish it on PyPi?
One more example for you. Our group wrote our core package in Julia called Bigsimr.jl (here) and then wrote interfaces to it for R (here and on cran) and Python (here and on PyPi)
-
[D] What's your favorite concept/rule/theorem in statistics and why?
We have an R interface to the Julia library, but it still requires Julia to be installed. It uses JuliaCall, and honestly you don't even need to use our R wrapper.
JuliaCall
Posts with mentions or reviews of JuliaCall.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-01.
-
Is c++ still the best performance companion language for R?
I’ve had some joy with JuliaCall.
-
[D] What's your favorite concept/rule/theorem in statistics and why?
We have an R interface to the Julia library, but it still requires Julia to be installed. It uses JuliaCall, and honestly you don't even need to use our R wrapper.
- Announcing RStudio 1.4
What are some alternatives?
When comparing r-bigsimr and JuliaCall you can also consider the following projects:
PySR - High-Performance Symbolic Regression in Python and Julia
Julia-DataFrames-Tutorial - A tutorial on Julia DataFrames package
Bigsimr.jl - Simulate multivariate distributions with arbitrary marginals.
JuliaTutorials - Learn Julia via interactive tutorials!
python-bigsimr
Zygote-Mutating-Arrays-WorkAround.jl - A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.
extendr - R extension library for rust designed to be familiar to R users.