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viruslearner
View on CRAN: Click
here
Download and install viruslearner package within the R console
Install from CRAN:
install.packages("viruslearner")
Install from Github:
library("remotes")
install_github("cran/viruslearner")
Install by package version:
library("remotes")
install_version("viruslearner", "0.0.2")
Attach the package and use:
library("viruslearner")
Maintained by
Juan Pablo Acuña González
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2024-01-31
Latest Update: 2024-04-21
Description:
Advanced statistical modeling techniques for ensemble learning, specifically tailored to the analysis of lymphocyte counts and viral load data in the context of HIV research. Empowering researchers and practitioners, this tool provides a comprehensive solution for tasks such as analysis, prediction and risk calculation related to key viral metrics. The package incorporates cutting-edge ensemble learning principles, inspired by model stacking techniques of Simon P. Couch and Max Kuhn (2022) <doi:10.21105/joss.04471> and adhering to tidy data principles, offering a robust and reproducible framework for HIV research.
How to cite:
Juan Pablo Acuña González (2024). viruslearner: Ensemble Learning for HIV-Related Metrics. R package version 0.0.2, https://cran.r-project.org/web/packages/viruslearner. Accessed 08 May. 2025.
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imports, suggests or enhances
Complete documentation for viruslearner
Functions, R codes and Examples using
the viruslearner R package
Some associated functions: cd_ens . cd_fit . cd_stack . cd_test . cd_train . viralrates . viruslearner-package . vl_test . vl_train .
Some associated R codes: cd_ens.R . cd_fit.R . cd_stack.R . data.R . viruslearner-package.R . Full viruslearner package functions and examples
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