R Observatory: Metrics for FSHybridPLS version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FSHybridPLS

0.1.0Package record

Hybrid Penalized Partial Least Squares for Mixed Data

0packages depend

404downloads / year

74.6%test coverage

13/13flavors OK

Overview

About

Maintained by Jongmin MunCRAN page ↗GitHub ↗Issues ↗

Fits Penalized Partial Least Squares (PLS) regression when predictors are hybrid objects that combine functional curves (infinite-dimensional 'fda' objects) and scalar covariates (finite-dimensional numeric matrices). The package treats a hybrid predictor as an element of a product Hilbert space formed by the functional and Euclidean components, and implements the arithmetic (addition, scalar multiplication, and inner products, including roughness-penalized inner products) needed to run penalized PLS directly in that space. The algorithm extracts latent components that maximize covariance with a scalar response while penalizing roughness of the estimated functional coefficient curves. Helpers are included for constructing hybrid predictors, two-step within- and between-modality normalization, train/test splitting, synthetic data generation, cross-validated component selection, and prediction. The method is described in Mun and Jang (2026) doi:10.48550/arXiv.2601.16364.

Changes in 0.1.0

Initial CRAN submission.
Public API: predictor_hybrid(), simulate_hybrid_data(), split_all(), split_and_normalize_all(), fit_hybridPLS(), predict.hybridPLS(), print.hybridPLS(), cv_fit_hybridPLS(), create_idx_kfold(), inprod_predictor_hybrid(), inprod_pen_predictor_hybrid(), and load_and_preprocess_kidney_data().
Internal algebra/helpers are unexported.
Examples, tests, package documentation, vignette, and citation metadata added.

From NEWS.md in the release

Install

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

install.packages("FSHybridPLS", 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("Jong-Min-Moon/FShybridPLS")

Development version from Jong-Min-Moon/FShybridPLS. 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-fshybridpls

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-FSHybridPLS

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-FSHybridPLS

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: 2.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK4 OK2026-09-23

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 103 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileYes · software entry only

Help pages: 29 (18 internal)includes a package overview page
Examples that run: 100%11 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Introduction to FSHybridPLS HTML

How these are measured

Downloads

404

CRAN downloads in the past year

Rank #25,194 · ~1/day · ~34/mo

Releases R versions

Daily download trend is not available in this view yet.

36830 days

40490 days

4041 year

Compare downloads with other packages →

Also on5 r2u1 autocran

How downloads are counted

Repository

jong-min-moon/fshybridpls ↗Account: Jong-Min-Moon

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-09-14

Responsiveness

not measured

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/jong-min-moon/fshybridpls on 2026-10-21.

Docs source (1)

GitHub Pages site last deployed 2026-09-14

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing FSHybridPLS adds 37 packages (23 with compiled code, 32 MB of source tarballs). Heaviest: ggplot2 6.0 MB, fds 3.7 MB, mclust 2.7 MB.

Depends (0)

none

Imports (2)

fdastats

LinkingTo (0)

none

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)

Jongmin Mun

Releases (1)

0.1.0Latest
record
2026-09-23 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-09-23
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Download size: 39 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("FSHybridPLS")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.48550/arxiv.2601.16364.

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 FSHybridPLS 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.

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