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.
Provides a comprehensive framework for building, evaluating, and visualizing regression models for analyzing viral load and CD4 (Cluster of Differentiation 4) lymphocytes data. It leverages the principles of the tidymodels ecosystem of Max Kuhn and Hadley Wickham (2020) <https://www.tidymodels.org> to offer a user-friendly experience in model development. This package includes functions for data preprocessing, feature engineering, model training, tuning, and evaluation, along with visualization tools to enhance the interpretation of model results. It is specifically designed for researchers in biostatistics, computational biology, and HIV research who aim to perform reproducible and rigorous analyses to gain insights into disease dynamics. The main focus is on improving the understanding of the relationships between viral load, CD4 lymphocytes, and other relevant covariates to contribute to HIV research and the visibility of vulnerable seropositive populations.
Version: | 1.2.0 |
Imports: | dplyr, earth, kknn, nnet, parsnip, recipes, rsample, tidyselect, tune, vdiffr, workflows, workflowsets |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-01-21 |
DOI: | 10.32614/CRAN.package.viralmodels |
Author: | Juan Pablo Acuña González
|
Maintainer: | Juan Pablo Acuña González <22253567 at uagro.mx> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
CRAN checks: | viralmodels results |
Reference manual: | viralmodels.pdf |
Package source: | viralmodels_1.2.0.tar.gz |
Windows binaries: | r-devel: viralmodels_1.2.0.zip, r-release: viralmodels_1.2.0.zip, r-oldrel: viralmodels_1.2.0.zip |
macOS binaries: | r-release (arm64): viralmodels_1.2.0.tgz, r-oldrel (arm64): viralmodels_1.2.0.tgz, r-release (x86_64): viralmodels_1.2.0.tgz, r-oldrel (x86_64): viralmodels_1.2.0.tgz |
Old sources: | viralmodels archive |
Please use the canonical form https://CRAN.R-project.org/package=viralmodels 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.