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viralx

1.3.1Package record

Explainers for Regression Models in HIV Research

0packages depend
2.2Kdownloads / year
100.0%test coverage
13/13flavors OK

Overview

About

A dedicated viral-explainer model tool designed to empower researchers in the field of HIV research, particularly in viral load and CD4 (Cluster of Differentiation 4) lymphocytes regression modeling. Drawing inspiration from the 'tidymodels' framework for rigorous model building of Max Kuhn and Hadley Wickham (2020) https://www.tidymodels.org, and the 'DALEXtra' tool for explainability by Przemyslaw Biecek (2020) doi:10.48550/arXiv.2009.13248. It aims to facilitate interpretable and reproducible research in biostatistics and computational biology for the benefit of understanding HIV dynamics.

Changes in 1.3.1
  • Added a NEWS.md file to track changes to the package.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3.1
READMEYes · 90 wordsVignettesNoNEWSYes · 67% structured · mentions 1.3.1Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
16 (1 internal)includes a package overview page
Examples that run
7%1 run in a plain check · 14 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #20,101 · ~6/day · ~180/mo
Daily download trend is not available in this view yet.
27830 days
64690 days
2.2K1 year
Compare downloads with other packages →
Also on66 r2u4 autocran

Repository

0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2024-11-04
Responsiveness
not measured
PracticesBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/juanv66x/viralx on 2026-10-11.

Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
data-raw/
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
13 external dependencies (excludes base and recommended)

Installing viralx adds 67 packages (27 with compiled code, 51 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2023)
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-07-04
  • 1.3.1Latest
    record
    2025-07-04 · current release · diff ↗
  • archivedRemoved from CRAN
    2025-05-15
    requires archived package 'kknn'
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.3.0
    record
    2024-03-29 · diff ↗ ·
    added 1 export
    glob_cr_vis
  • 1.2.0
    record
    2024-01-21 · diff ↗ ·
    added 5 exports
    glob_knn_vis, viralx_knn, viralx_knn_glob, viralx_knn_shap, viralx_knn_vis
  • 1.1.0
    record
    2023-09-13 · diff ↗ ·
    added 2 exports
    glob_nn_vis, viralx_nn_glob
  • 1.0.0
    record
    2023-09-07
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-09-07
Total releases
5 / 3 yrs
License
MIT + file LICENSE OSI · relicensed from GPL (>= 3) in 1.3.1
Minimum R
≥ 4.1.0
Bundled data
0.5 KB / 1 file
Download size
21 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("viralx")
Acuña González, J. P. (2025). viralx: Explainers for Regression Models in HIV Research (Version 1.3.1) [Computer software]. https://doi.org/10.32614/CRAN.package.viralx

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for viralx version 1.3.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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