copent
R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test (by majianthu)
aps2020
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics (by majianthu)
copent | aps2020 | |
---|---|---|
1 | 2 | |
38 | 17 | |
- | - | |
6.6 | 0.0 | |
10 days ago | about 2 years ago | |
R | R | |
- | GNU General Public License v3.0 only |
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.
copent
Posts with mentions or reviews of copent.
We have used some of these posts to build our list of alternatives
and similar projects.
-
copent v0.2 now available on CRAN
GitHub: https://github.com/majianthu/copent
aps2020
Posts with mentions or reviews of aps2020.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[R] Feature selection algorithms for psychometric questions when the predicted variable is multi-dimensional?
try Copula Entropy for feature/variable selection. see my paper "Variable Selection with Copula Entropy". The code for the paper is at here, in which the R package 'copent' is used.
- [Q] Feature selection (>600 features)
What are some alternatives?
When comparing copent and aps2020 you can also consider the following projects:
Econometrics-on-Stock-Data - R finance guide - Algotrading101
vip - Variable Importance Plots (VIPs)
evalml - EvalML is an AutoML library written in python.
dcor - Distance correlation and related E-statistics in Python
msaenet - 🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions