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: 1.3.1 Depends: R (≥ 4.1.0) Imports: DALEX, DALEXtra, parsnip, recipes, stats, workflows Suggests: Cubist, dplyr, earth, kknn, rsample, rules, testthat (≥ 3.0.0), vdiffr Published: 2025-07-04 DOI: 10.32614/CRAN.package.viralx Author: Juan Pablo Acuña González [aut, cre] Maintainer: Juan Pablo Acuña González <22253567 at uagro.mx> BugReports: https://github.com/juanv66x/viralx/issues License: MIT + file LICENSE URL: https://github.com/juanv66x/viralx NeedsCompilation: no Materials: README, NEWS CRAN checks: viralx results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=viralx to link to this page.
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