R Observatory: Metrics for PLSsemEngine version 1.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

PLSsemEngine

1.3.0

Transparent PLS-SEM Estimation for Composite-Based Reflective Models

0packages depend

17downloads / year

0.0%test coverage

8/8checks pass

Overview

About

Maintained by Manuel Soto-PerezFirst published 2026-08-091 releasesCRAN page ↗GitHub ↗

A transparent and modular implementation of Partial Least Squares Structural Equation Modeling (PLS-SEM) focused on reflective measurement models (Mode A). The package separates estimation, bootstrap inference, and predictive evaluation into independent components, emphasising algorithmic transparency, reproducibility, and researcher-controlled analysis. Methods are based on Tenenhaus, Esposito Vinzi, Chatelin & Lauro (2005) doi:10.1016/j.csda.2004.03.005, Hair, Risher, Sarstedt & Ringle (2019) doi:10.1108/EBR-11-2018-0203, and Henseler, Ringle & Sarstedt (2015) doi:10.1007/s11747-014-0403-8.

Install

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

install.packages("PLSsemEngine", 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("msoto-perez/PLSsemEngine")

Development version from msoto-perez/PLSsemEngine. Installs pak first if it is not already available.

# 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-PLSsemEngine

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-PLSsemEngine

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

8OK

Slowest check: 1.5 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.21

0.0%

Coverage · measured lines

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-10
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 347 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 6%

Downloads

17

CRAN downloads in the past year

Rank #24,910 · ~0/day · ~1/mo

PLSsemEngine Releases R versions

Daily download trend is not available in this view yet.

1730 days

1790 days

171 year

Compare downloads with other packages →

Repository

GitHub ↗ msoto-perez/plssemengine

1Stars

1Forks

0Open issues

0Open PRs

10Releases

Last activity 2026-08-04

Repository practices

Upstream repositoryBeta

Repository github.com/msoto-perez/plssemengine is linked, but repository-practices checks have not run for it yet.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (3)

statsgraphicsgrDevices

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Manuel Soto-Perez

Author, Maintainer

Authors (1)

Manuel Soto-Perez

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

1.3.0Latest
2026-08-09 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-09
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0.0
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PLSsemEngine")

Format

Soto-Perez, M. (2026). PLSsemEngine: Transparent PLS-SEM Estimation for Composite-Based Reflective Models (Version 1.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.PLSsemEngine

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 PLSsemEngine version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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