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cff-version: 1.2.0
message: 'To cite package "viralmodels" in publications use:'
type: software
license: MIT
title: 'viralmodels: Viral Load and CD4 Lymphocytes Regression Models'
version: 1.3.1
doi: 10.32614/CRAN.package.viralmodels
abstract: 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.
authors:
- family-names: Acuña González
  given-names: Juan Pablo
  email: acua6307@gmail.com
  orcid: https://orcid.org/0009-0003-6029-6560
repository: https://CRAN.R-project.org/package=viralmodels
repository-code: https://github.com/juanv66x/viralmodels
url: https://github.com/juanv66x/viralmodels
date-released: '2024-10-18'
contact:
- family-names: Acuña González
  given-names: Juan Pablo
  email: acua6307@gmail.com
  orcid: https://orcid.org/0009-0003-6029-6560