SmoothTensor
A Collection of Smooth Tensor Estimation Methods
A list of methods for estimating a smooth tensor with an unknown permutation. It also contains several multi-variate functions for generating permuted signal tensors and corresponding observed tensors. For a detailed introduction for the model and estimation techniques, see the paper by Chanwoo Lee and Miaoyan Wang (2021) "Smooth tensor estimation with unknown permutations" doi:10.48550/arXiv.2111.04681.
- Version0.1.1
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release11/16/2021
Documentation
Team
Chanwoo Lee
Miaoyan Wang
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Last 30 days
This package has been downloaded 138 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 7 times.
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Last 365 days
This package has been downloaded 2,065 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 21, 2024 with 70 downloads.
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Dependencies
- Imports2 packages