PolyTree
Estimate Causal Polytree from Data
Given a data matrix with rows representing data vectors and columns representing variables, produces a directed polytree for the underlying causal structure. Based on the algorithm developed in Chatterjee and Vidyasagar (2022) doi:10.48550/arXiv.2209.07028. The method is fully nonparametric, making no use of linearity assumptions, and especially useful when the number of variables is large.
- Version0.0.1
- R versionunknown
- LicenseMIT
- Needs compilation?No
- PolyTree citation info
- Last release03/25/2024
Team
Sourav Chatterjee
Insights
Last 30 days
This package has been downloaded 130 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 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 1,810 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Mar 28, 2024 with 49 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
- Imports2 packages