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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) <arXiv:2009.13248>. It aims to facilitate interpretable and reproducible research in biostatistics and computational biology for the benefit of understanding HIV dynamics.
Getting started
Browse package contents
Package details |
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| Author | Juan Pablo Acuña González [aut, cre] (<https://orcid.org/0009-0003-6029-6560>) |
| Maintainer | Juan Pablo Acuña González <22253567@uagro.mx> |
| License | GPL (>= 3) |
| Version | 1.3.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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