HoRM
Supplemental Functions and Datasets for "Handbook of Regression Methods" (by dsy109)
future
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone (by HenrikBengtsson)
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.
HoRM
Posts with mentions or reviews of HoRM.
We have used some of these posts to build our list of alternatives
and similar projects.
-
James Bond Film Dataset
- https://github.com/dsy109/HoRM
future
Posts with mentions or reviews of future.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Running Code in Parallel
Check out the future package: https://github.com/HenrikBengtsson/future
-
What's faster: run simultaneously on multiple terminals, or run everything sequentially on one terminal?
If you're a fan of the tidyverse check out the furrr package, which is based on the future package. Let's you apply your map() functions in parallel very easily.
What are some alternatives?
When comparing HoRM and future you can also consider the following projects:
polished_example_apps - Example Apps for Polished
seurat - R toolkit for single cell genomics