Package: viraldomain 0.0.6.9000

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.

Authors:Juan Pablo Acuña González [aut, cre]

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viraldomain.pdf |viraldomain.html
viraldomain/json (API)
NEWS

# Install 'viraldomain' in R:
install.packages('viraldomain', repos = c('https://juanv66x.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/juanv66x/viraldomain/issues

Datasets:
  • sero - Seropositive Data for Applicability Domain Testing
  • viral - Predictive Modeling Data for Viral Load and CD4 Lymphocyte Counts

On CRAN:

applicability-domaincd4-lymphocytesviral-load

3.00 score 5 scripts 171 downloads 6 exports 73 dependencies

Last updated 20 days agofrom:3ee490ab99. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-winOKOct 17 2024
R-4.5-linuxOKOct 17 2024
R-4.4-winOKOct 17 2024
R-4.4-macOKOct 17 2024
R-4.3-winOKOct 17 2024
R-4.3-macOKOct 17 2024

Exports:knn_domain_scoremars_domain_scorenn_domain_scorenormalized_domain_plotrf_domain_scoresimple_domain_plot

Dependencies:applicableclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyrfansifarverfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobandKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvmodelenvmunsellnlmennetnumDerivparallellyparsnippillarpkgconfigprettyunitsprodlimprogressrproxyCpurrrR6RColorBrewerRcppRcppArmadillorecipesrlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrworkflows