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>.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | methods, Matrix, rTensor |
| Published: | 2021-11-16 |
| DOI: | 10.32614/CRAN.package.SmoothTensor |
| Author: | Chanwoo Lee [aut, cre], Miaoyan Wang [aut] |
| Maintainer: | Chanwoo Lee <chanwoo.lee at wisc.edu> |
| License: | GPL-3 |
| URL: | https://arxiv.org/abs/2111.04681 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | SmoothTensor results |
| Reference manual: | SmoothTensor.pdf |
| Package source: | SmoothTensor_0.1.1.tar.gz |
| Windows binaries: | r-devel: SmoothTensor_0.1.1.zip, r-release: SmoothTensor_0.1.1.zip, r-oldrel: SmoothTensor_0.1.1.zip |
| macOS binaries: | r-release (arm64): SmoothTensor_0.1.1.tgz, r-oldrel (arm64): SmoothTensor_0.1.1.tgz, r-release (x86_64): SmoothTensor_0.1.1.tgz, r-oldrel (x86_64): SmoothTensor_0.1.1.tgz |
| Old sources: | SmoothTensor archive |
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