The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| DOI: |
10.32614/CRAN.package.viralx |
| Author: |
Juan Pablo Acuña González
 [aut, cre] |
| Maintainer: |
Juan Pablo Acuña González <22253567 at uagro.mx> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| CRAN checks: |
viralx results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=viralx
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.