viralx: Explainers for Regression Models in HIV Research

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.

Version: 1.3.0
Depends: R (≥ 2.10)
Imports: DALEX, DALEXtra, dplyr, earth, Formula, kknn, parsnip, plotmo, plotrix, recipes, rsample, TeachingDemos, vdiffr, workflows
Suggests: Cubist, rules, testthat (≥ 3.0.0)
Published: 2024-03-29
Author: Juan Pablo Acuña González ORCID iD [aut, cre]
Maintainer: Juan Pablo Acuña González <22253567 at uagro.mx>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: viralx results

Documentation:

Reference manual: viralx.pdf

Downloads:

Package source: viralx_1.3.0.tar.gz
Windows binaries: r-devel: viralx_1.3.0.zip, r-release: viralx_1.3.0.zip, r-oldrel: viralx_1.3.0.zip
macOS binaries: r-release (arm64): viralx_1.3.0.tgz, r-oldrel (arm64): viralx_1.3.0.tgz, r-release (x86_64): viralx_1.3.0.tgz
Old sources: viralx archive

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