R Observatory: Metrics for TrendTM version 2.0.21

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

TrendTM

2.0.21Package record

Trend of High-Dimensional Time Series Matrix Estimation

0packages depend

5.8Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Emilie LebarbierCRAN page ↗

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).

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("TrendTM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-trendtm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-TrendTM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-TrendTM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 52 s · r-devel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 2 earlier changesHide 2 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.21

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 4
Examples that run: 100%2 run in a plain check
Exported functions with examples: 33%
Documented parameters: 90%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

5.8K

CRAN downloads in the past year

Rank #11,248 · ~16/day · ~482/mo

Releases R versions

Daily download trend is not available in this view yet.

36230 days

95390 days

5.8K1 year

Compare downloads with other packages →

Also on68 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing TrendTM adds 39 packages (24 with compiled code, 33 MB of source tarballs). Heaviest: ggplot2 6.0 MB, fds 3.7 MB, mclust 2.7 MB.

Depends (1)

R >= 3.5.0

Imports (3)

softImpute capushe fda

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Emilie Lebarbier

Author, Maintainer since 2.0.14 (2022)

Nicolas Marie

Author

Amélie Rosier

Author · added in 2.0.21

Listed in earlier versions (1)

Amélie Rosier.

no longer listed · 2.0.14 to 2.0.19

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
2.0.21Latest
record
2025-03-28 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
2.0.19
record
2023-11-16 · diff ↗ ·
added 2 exports
FM_kt, OurSlope
R
R 4.3.0 released · 2023-04-21
2.0.14
record
2022-06-30
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-06-30
Total releases: 3 / 4 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 23 KB / 1 file
Download size: 29 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TrendTM")

Format

Lebarbier, E., Marie, N., & Rosier, A. (2025). TrendTM: Trend of High-Dimensional Time Series Matrix Estimation (Version 2.0.21) [Computer software]. https://doi.org/10.32614/CRAN.package.TrendTM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for TrendTM version 2.0.21 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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