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viralmodels  

Viral Load and CD4 Lymphocytes Regression Models
View on CRAN: Click here


Download and install viralmodels package within the R console
Install from CRAN:
install.packages("viralmodels")

Install from Github:
library("remotes")
install_github("cran/viralmodels")

Install by package version:
library("remotes")
install_version("viralmodels", "1.2.0")



Attach the package and use:
library("viralmodels")
Maintained by
Juan Pablo Acuña González
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-31
Latest Update: 2024-01-21
Description:
Provides a comprehensive framework for building, evaluating, and visualizing regression models for analyzing viral load and CD4 (Cluster of Differentiation 4) lymphocytes data. It leverages the principles of the tidymodels ecosystem of Max Kuhn and Hadley Wickham (2020) <https://www.tidymodels.org> to offer a user-friendly experience in model development. This package includes functions for data preprocessing, feature engineering, model training, tuning, and evaluation, along with visualization tools to enhance the interpretation of model results. It is specifically designed for researchers in biostatistics, computational biology, and HIV research who aim to perform reproducible and rigorous analyses to gain insights into disease dynamics. The main focus is on improving the understanding of the relationships between viral load, CD4 lymphocytes, and other relevant covariates to contribute to HIV research and the visibility of vulnerable seropositive populations.
How to cite:
Juan Pablo Acuña González (2023). viralmodels: Viral Load and CD4 Lymphocytes Regression Models. R package version 1.2.0, https://cran.r-project.org/web/packages/viralmodels
Previous versions and publish date:
0.1.0 (2023-08-31 16:00), 1.0.0 (2023-09-02 08:40), 1.1.0 (2023-09-29 10:40)
Other packages that cited viralmodels R package
View viralmodels citation profile
Other R packages that viralmodels depends, imports, suggests or enhances
Functions, R codes and Examples using the viralmodels R package
Some associated functions: viralmodel . viraltab . viralvis . 
Some associated R codes: viralmodel.R . viraltab.R . viralvis.R .  Full viralmodels package functions and examples
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