JuliaConnectoR
drake
Our great sponsors
| JuliaConnectoR | drake | |
|---|---|---|
| 1 | 1 | |
| 77 | 1,320 | |
| - | -0.2% | |
| 7.6 | 3.1 | |
| 3 months ago | 8 months ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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.
JuliaConnectoR
-
Convert Random Forest from Julia to R
Awesome resource!! On my side, I found the opposite R package to use Julia directly in R (https://github.com/stefan-m-lenz/JuliaConnectoR). In your opinion, what would be the most efficient?
drake
-
Your impression of {targets}? (r package)
The targets package is the official successor to Drake, and has the same primary author (Will Landau). He has explained why he created targets, which includes stronger guardrails for users and better UX.
What are some alternatives?
targets - Function-oriented Make-like declarative workflows for R
easystats - :milky_way: The R easystats-project
ncaahoopR - An R package for working with NCAA Basketball Play-by-Play Data
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
awesome-pipeline - A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
rtweet - 🐦 R client for interacting with Twitter's [stream and REST] APIs
drc - Fitting dose-response models in R
ffscrapr - R API Client for Fantasy Football League Platforms
tidyqpcr - quantitative PCR analysis with the tidyverse
droll - An R package to analyze roll distributions
targets-tutorial - Short course on the targets R package