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viralx  

Explainers for Regression Models in HIV Research
View on CRAN: Click here


Download and install viralx package within the R console
Install from CRAN:
install.packages("viralx")

Install from Github:
library("remotes")
install_github("cran/viralx")

Install by package version:
library("remotes")
install_version("viralx", "1.3.0")



Attach the package and use:
library("viralx")
Maintained by
Juan Pablo Acuña González
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-07
Latest Update: 2024-01-21
Description:
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.
How to cite:
Juan Pablo Acuña González (2023). viralx: Explainers for Regression Models in HIV Research. R package version 1.3.0, https://cran.r-project.org/web/packages/viralx. Accessed 31 Jan. 2025.
Previous versions and publish date:
1.0.0 (2023-09-07 11:00), 1.1.0 (2023-09-13 09:10), 1.2.0 (2024-01-21 14:00)
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Complete documentation for viralx
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