FOCI
Feature Ordering by Conditional Independence
Feature Ordering by Conditional Independence (FOCI) is a variable selection algorithm based on the measure of conditional dependence. For more information, see the paper: Azadkia and Chatterjee (2019),"A simple measure of conditional dependence" doi:10.48550/arXiv.1910.12327.
- Version0.1.3
- R version≥ 3.6.0
- LicenseGPL-3
- Needs compilation?No
- Last release03/18/2021
Documentation
Team
Mona Azadkia
Sourav Chatterjee
Show author detailsRolesAuthor, ContributorNorman Matloff
Show author detailsRolesAuthor, Contributor
Insights
Last 30 days
This package has been downloaded 426 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 18 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 5,352 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Jul 21, 2024 with 86 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports3 packages
- Suggests3 packages
- Reverse Imports3 packages