R Observatory: Metrics for TensorMCMC version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

TensorMCMC

0.1.0Package record

Tensor Regression with Stochastic Low-Rank Updates

0packages depend

1.6Kdownloads / year

87.7%test coverage

13/13flavors OK

Overview

About

Maintained by Ritwick MondalCRAN page ↗

Provides methods for low-rank tensor regression with tensor-valued predictors and scalar covariates. Model estimation is performed using stochastic optimization with random-walk updates for low-rank factor matrices. Computationally intensive components for coefficient estimation and prediction are implemented in C++ via 'Rcpp'. The package also includes tools for cross-validation and prediction error assessment.

Install

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

install.packages("TensorMCMC", 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-tensormcmc

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-TensorMCMC

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-TensorMCMC

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: 2.7 min · 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
OK14 OK2026-04-22

Show 2 earlier changesHide 2 earlier changes

ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 71 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 10
Examples that run: no examples
Exported functions with examples: 0%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

TensorMCMC HTML

How these are measured

Downloads

1.6K

CRAN downloads in the past year

Rank #23,630 · ~4/day · ~135/mo

Releases R versions

Daily download trend is not available in this view yet.

18830 days

54990 days

1.6K1 year

Compare downloads with other packages →

Also on255 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing TensorMCMC adds 6 packages (3 with compiled code, 7.2 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (0)

none

Imports (3)

Rcpp glmnetstats

LinkingTo (1)

Rcpp

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Ritwick Mondal

Author, Maintainer since 0.1.0 (2026)

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
record
2026-01-12 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-01-12
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Download size: 38 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TensorMCMC")

Format

Mondal, R. (2026). TensorMCMC: Tensor Regression with Stochastic Low-Rank Updates (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.TensorMCMC

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 TensorMCMC version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →