aorsf
Accelerated Oblique Random Survival Forests (by ropensci)
engsoccerdata
English and European soccer results 1871-2022 (by jalapic)
| aorsf | engsoccerdata | |
|---|---|---|
| 1 | 1 | |
| 31 | 749 | |
| - | - | |
| 9.5 | 0.0 | |
| 4 days ago | over 1 year ago | |
| R | R | |
| 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.
aorsf
Posts with mentions or reviews of aorsf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-30.
-
Peer-Reviewing Statistical R Packages
aorsf: Accelerated Oblique Random Survival Forests, by Byron Jaeger, Nicholas Pajewski, and Sawyer Welden, reviewed by Lukas Burk, Marvin N. Wright, edited by Toby Dylan Hocking
engsoccerdata
Posts with mentions or reviews of engsoccerdata.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Updated 538 predictions after today's results
"The forecasts are based on a substantially revised version of ESPN’s Soccer Power Index (SPI), a rating system originally devised by FiveThirtyEight editor-in-chief Nate Silver in 2009 for rating international soccer teams. We have updated and adapted SPI to incorporate club soccer data going back to 1888 (from more than 550,000 matches in all) that we’ve collected from ESPN’s database and the Engsoccerdata GitHub repository, as well as from play-by-play data produced by Opta that has been available since 2010."
What are some alternatives?
When comparing aorsf and engsoccerdata you can also consider the following projects:
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
melt - Multiple empirical likelihood tests
understatr - fetch understat data
canaper - Categorical Anaysis of Neo- and Paleo-endemism in R
ggshakeR - An analysis and visualization R package that works with publicly available soccer data
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
R-Fundamentals - D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.