canaper
Categorical Anaysis of Neo- and Paleo-endemism in R (by ropensci)
aorsf
Accelerated Oblique Random Survival Forests (by ropensci)
Our great sponsors
| canaper | aorsf | |
|---|---|---|
| 1 | 1 | |
| 7 | 31 | |
| - | - | |
| 5.8 | 9.5 | |
| 12 months ago | 10 days ago | |
| R | R | |
| GNU General Public License v3.0 or later | 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.
canaper
Posts with mentions or reviews of canaper.
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
canaper: Categorical Analysis of Neo- And Paleo-Endemism in R, by Joel H. Nitta, reviewed by Luis Osorio and Klaus Schliep, edited by Toby Dylan Hocking
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
What are some alternatives?
When comparing canaper and aorsf you can also consider the following projects:
melt - Multiple empirical likelihood tests
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
engsoccerdata - English and European soccer results 1871-2022
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
awesome-R - A curated list of awesome R packages, frameworks and software.
targets - Function-oriented Make-like declarative workflows for R