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SmoothTensor  

A Collection of Smooth Tensor Estimation Methods
View on CRAN: Click here


Download and install SmoothTensor package within the R console
Install from CRAN:
install.packages("SmoothTensor")

Install from Github:
library("remotes")
install_github("cran/SmoothTensor")

Install by package version:
library("remotes")
install_version("SmoothTensor", "0.1.1")



Attach the package and use:
library("SmoothTensor")
Maintained by
Chanwoo Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-10
Latest Update: 2021-11-16
Description:
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>.
How to cite:
Chanwoo Lee (2021). SmoothTensor: A Collection of Smooth Tensor Estimation Methods. R package version 0.1.1, https://cran.r-project.org/web/packages/SmoothTensor. Accessed 21 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:26), 0.1.0 (2021-11-10 14:40), 0.1.1 (2021-11-16 08:50)
Other packages that cited SmoothTensor R package
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Other R packages that SmoothTensor depends, imports, suggests or enhances
Complete documentation for SmoothTensor
Functions, R codes and Examples using the SmoothTensor R package
Some associated functions: Borda_count . LSE . Spectral . ltns . mode_info . simulation . simulation_asym . simulation_bin . 
Some associated R codes: data.R . smoothT.R .  Full SmoothTensor package functions and examples
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