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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 [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 |
Reference manual: | viraldomain.pdf |
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 suggests: | viralmodels |
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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.