rTensor: Tools for Tensor Analysis and Decomposition

Canonical link: https://scholar.rpkg.net/pkg/rTensor

James Li and Jacob Bien and Martin Wells • View description and downloads View dependencies GitHub project

2014 Published

1.4.8 Version

0 Citations

1 Authors

Referenced by ⇅	Year
ttTensor: Tensor-Train Decomposition (Version 1.0.1)	2019
LTAR: Tensor Forecasting Functions (Version 0.1.0)	2023
RTFA: Robust Factor Analysis for Tensor Time Series (Version 0.1.0)	2023
SmoothTensor: A Collection of Smooth Tensor Estimation Methods (Version 0.1.1)	2021
TRES: Tensor Regression with Envelope Structure (Version 1.1.5)	2018
TensorClustering: Model-Based Tensor Clustering (Version 1.0.2)	2021
TensorPreAve: Rank and Factor Loadings Estimation in Time Series Tensor Factor Models (Version 1.1.0)	2022
Tlasso: Non-Convex Optimization and Statistical Inference for Sparse Tensor Graphical Models (Version 1.0.2)	2016
TransGraph: Transfer Graph Learning (Version 1.0.1)	2023
TransTGGM: Transfer Learning for Tensor Graphical Models (Version 1.0.0)	2022
WormTensor: A Clustering Method for Time-Series Whole-Brain Activity Data of 'C. elegans' (Version 0.1.0)	2022
ccTensor: CUR/CX Tensor Decomposition (Version 1.0.2)	2021
dcTensor: Discrete Matrix/Tensor Decomposition (Version 1.2.0)	2023
fase: Functional Adjacency Spectral Embedding (Version 1.0.1)	2024
gcTensor: Generalized Coupled Tensor Factorization (Version 1.0.0)	2021
iTensor: ICA-Based Matrix/Tensor Decomposition (Version 1.0.2)	2022
mwTensor: Multi-Way Component Analysis (Version 1.1.0)	2021
nnTensor: Non-Negative Tensor Decomposition (Version 1.2.0)	2018
oddnet: Anomaly Detection in Temporal Networks (Version 0.1.1)	2022
rMultiNet: Multi-Layer Networks Analysis (Version 0.1)	2023
rTensor2: MultiLinear Algebra (Version 2.0.0)	2022
scITD: Single-Cell Interpretable Tensor Decomposition (Version 1.0.4)	2021
tensorMiss: Handle Missing Tensor Data with C++ Integration (Version 1.1.1)	2024
tensorTS: Factor and Autoregressive Models for Tensor Time Series (Version 1.0.2)	2021

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