Tlasso
Non-Convex Optimization and Statistical Inference for Sparse Tensor Graphical Models
An optimal alternating optimization algorithm for estimation of precision matrices of sparse tensor graphical models, and an efficient inference procedure for support recovery of the precision matrices.
- Version1.0.2
- R version≥ 3.1.1
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release02/01/2022
Documentation
Team
Xiang Lyu
Han Liu
Guang Cheng
Will Wei Sun
Zhaoran Wang
Jian Yang
Insights
Last 30 days
This package has been downloaded 143 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 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 2,143 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 23, 2024 with 27 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
- Imports4 packages
- Suggests2 packages
- Reverse Imports2 packages