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TrendTM  

Trend of High-Dimensional Time Series Matrix Estimation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("TrendTM", "2.0.19")



Attach the package and use:
library("TrendTM")
Maintained by
Emilie Lebarbier
[Scholar Profile | Author Map]
First Published: 2022-06-30
Latest Update: 2022-06-30
Description:
Matrix factorization for multivariate time series with both low rank and temporal structures. The procedure is the one proposed by Alquier, P. and Marie, N. Matrix factorization for multivariate time series analysis. Electronic journal of statistics, 13(2), 4346-4366 (2019).
How to cite:
Emilie Lebarbier (2022). TrendTM: Trend of High-Dimensional Time Series Matrix Estimation. R package version 2.0.19, https://cran.r-project.org/web/packages/TrendTM. Accessed 29 Mar. 2025.
Previous versions and publish date:
2.0.14 (2022-06-30 14:00), 2.0.19 (2023-11-16 15:33)
Other packages that cited TrendTM R package
View TrendTM citation profile
Other R packages that TrendTM depends, imports, suggests or enhances
Complete documentation for TrendTM
Functions, R codes and Examples using the TrendTM R package
Some associated functions: DataX . TrendTM . 
Some associated R codes: TrendTM.R .  Full TrendTM package functions and examples
Downloads during the last 30 days
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