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

3.23 score 17 scripts 302 downloads 6 exports 73 dependencies

Last updated 1 months agofrom:3ee490ab99. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:knn_domain_scoremars_domain_scorenn_domain_scorenormalized_domain_plotrf_domain_scoresimple_domain_plot

Dependencies:applicableclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyrfansifarverfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobandKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvmodelenvmunsellnlmennetnumDerivparallellyparsnippillarpkgconfigprettyunitsprodlimprogressrproxyCpurrrR6RColorBrewerRcppRcppArmadillorecipesrlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrworkflows