R Observatory: Metrics for TensorPreAve version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

TensorPreAve

1.1.0Package record

Rank and Factor Loadings Estimation in Time Series Tensor Factor Models

0packages depend

3.2Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Weilin ChenCRAN page ↗GitHub ↗

A set of functions to estimate rank and factor loadings of time series tensor factor models. A tensor is a multidimensional array. To analyze high-dimensional tensor time series, factor model is a major dimension reduction tool. 'TensorPreAve' provides functions to estimate the rank of core tensors and factor loading spaces of tensor time series. More specifically, a pre-averaging method that accumulates information from tensor fibres is used to estimate the factor loading spaces. The estimated directions corresponding to the strongest factors are then used for projecting the data for a potentially improved re-estimation of the factor loading spaces themselves. A new rank estimation method is also implemented to utilizes correlation information from the projected data. See Chen and Lam (2023) arXiv:2208.04012 for more details.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("William-Chenwl/TensorPreAve")

Development version from William-Chenwl/TensorPreAve. Installs pak first if it is not already available.

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-tensorpreave

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-TensorPreAve

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-TensorPreAve

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

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Weilin Chen <w.chen56@lse.ac.uk>’

The Description field contains
  projected data.  See Chen and Lam (2023) <arXiv:2208.04012> for more
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 2.7 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8
Examples that run: 83%5 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 94%
Return-value docs: 83%
Help pages citing references: 25%

Vignettes (1)

A short introduction to TensorPreAve HTML

How these are measured

Downloads

3.2K

CRAN downloads in the past year

Rank #13,585 · ~9/day · ~264/mo

Releases R versions

Daily download trend is not available in this view yet.

32630 days

84890 days

3.2K1 year

Compare downloads with other packages →

Also on92 r2u4 autocran97 c2d4u

How downloads are counted

Repository

william-chenwl/tensorpreave ↗Account: William-Chenwl

1Stars

0Forks

0Open issues

0Open PRs

0Releases

8Commits

1Commit identities

8 commits · Last activity 2023-04-16

Responsiveness

not measured

Stars over time

2024-03-13 · 12026-07-07 · 1

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/william-chenwl/tensorpreave on 2026-10-18.

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing TensorPreAve adds 2 packages (0 with compiled code, 432 KB of source tarballs). Heaviest: pracma 389 KB, rTensor 43 KB.

Depends (1)

R >= 2.10

Imports (4)

rTensorMASSstatspracma

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

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 (1)

Weilin Chen

Author, Maintainer since 0.1.1 (2022)

Releases (2)

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
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.1.0Latest
record
2023-04-14 · current release · diff ↗ ·
added 1 export
pre_eigenplot
0.1.1
record
2022-11-08
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-11-08
Total releases: 2 / 4 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.10
Bundled data: 874 KB / 2 files
Download size: 903 KB

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TensorPreAve")

Format

Chen, W. (2023). TensorPreAve: Rank and Factor Loadings Estimation in Time Series Tensor Factor Models (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.TensorPreAve

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 TensorPreAve version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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