FastStepGraph
A Fast Algorithm for Sparse Precision Matrix Estimation
It implements an improved and computationally faster version of the original Stepwise Gaussian Graphical Algorithm for estimating the Omega precision matrix from high-dimensional data. Zamar, R., Ruiz, M., Lafit, G. and Nogales, J. (2021) doi:10.52933/jdssv.v1i2.11.
- Version0.1.1
- R version≥ 4.3
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Languageen-US
- Last release10/12/2023
Documentation
Team
Juan G. Colonna
Marcelo Ruiz
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Last 30 days
This package has been downloaded 126 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 3 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 1,616 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 24, 2024 with 23 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
- Imports3 packages
- Suggests3 packages