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viraldomain: Applicability Domain Methods of Viral Load and CD4 Lymphocytes

Provides methods for assessing the applicability domain of models that predict viral load and CD4 (Cluster of Differentiation 4) lymphocyte counts. These methods help determine the extent of extrapolation when making predictions.

Version: 0.0.6
Depends: R (≥ 2.10)
Imports: applicable, dplyr, ggplot2, parsnip, recipes, stats, tidyselect, workflows
Suggests: earth, kknn, nnet, ranger, testthat (≥ 3.0.0), vdiffr
Published: 2024-10-17
DOI: 10.32614/CRAN.package.viraldomain
Author: Juan Pablo Acuña González ORCID iD [aut, cre]
Maintainer: Juan Pablo Acuña González <acua6307 at gmail.com>
BugReports: https://github.com/juanv66x/viraldomain/issues
License: MIT + file LICENSE
URL: https://github.com/juanv66x/viraldomain
NeedsCompilation: no
Materials: README NEWS
CRAN checks: viraldomain results

Documentation:

Reference manual: viraldomain.pdf

Downloads:

Package source: viraldomain_0.0.6.tar.gz
Windows binaries: r-devel: viraldomain_0.0.6.zip, r-release: viraldomain_0.0.6.zip, r-oldrel: viraldomain_0.0.6.zip
macOS binaries: r-release (arm64): viraldomain_0.0.6.tgz, r-oldrel (arm64): viraldomain_0.0.6.tgz, r-release (x86_64): viraldomain_0.0.6.tgz, r-oldrel (x86_64): viraldomain_0.0.6.tgz
Old sources: viraldomain archive

Reverse dependencies:

Reverse suggests: viralmodels

Linking:

Please use the canonical form https://CRAN.R-project.org/package=viraldomain 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.
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