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) . It aims to facilitate interpretable and reproducible research in biostatistics and computational biology for the benefit of understanding HIV dynamics.


viralx

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.

Reference manual

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install.packages("viralx")

1.3.1 by Juan Pablo Acuña González, a year ago


https://github.com/juanv66x/viralx


Report a bug at https://github.com/juanv66x/viralx/issues


Browse source code at https://github.com/cran/viralx


Authors: Juan Pablo Acuña González [aut, cre] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports DALEX, DALEXtra, parsnip, recipes, stats, workflows

Suggests Cubist, dplyr, earth, kknn, rsample, rules, testthat, vdiffr


See at CRAN