backShift
Learning Causal Cyclic Graphs from Unknown Shift Interventions
Code for 'backShift', an algorithm to estimate the connectivity matrix of a directed (possibly cyclic) graph with hidden variables. The underlying system is required to be linear and we assume that observations under different shift interventions are available. For more details, see doi:10.48550/arXiv.1506.02494.
- Version0.1.4.3
- R version≥ 3.1.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/06/2020
Documentation
Team
Christina Heinze-Deml
Insights
Last 30 days
This package has been downloaded 328 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 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 3,988 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 23, 2024 with 35 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.
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Dependencies
- Imports6 packages
- Suggests6 packages
- Reverse Suggests1 package