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viraldomain
View on CRAN: Click
here
Download and install viraldomain package within the R console
Install from CRAN:
install.packages("viraldomain")
Install from Github:
library("remotes")
install_github("cran/viraldomain") Install by package version:
library("remotes")
install_version("viraldomain", "0.0.7") Attach the package and use:
library("viraldomain")
Maintained by
Juan Pablo Acuña González
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-28
Latest Update: 2025-05-27
Description:
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.
How to cite:
Juan Pablo Acuña González (2023). viraldomain: Applicability Domain Methods of Viral Load and CD4 Lymphocytes. R package version 0.0.7, https://cran.r-project.org/web/packages/viraldomain. Accessed 03 Jul. 2026.
Previous versions and publish date:
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Complete documentation for viraldomain
Functions, R codes and Examples using
the viraldomain R package
Some associated functions: knn_domain_score . mars_domain_score . nn_domain_score . normalized_domain_plot . sero . simple_domain_plot . train . viral .
Some associated R codes: knn_domain_score.R . mars_domain_score.R . nn_domain_score.R . normalized_domain_plot.R . sero-data.R . simple_domain_plot.R . train-data.R . viral-data.R . Full viraldomain package functions and examples
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