viralmodels - Viral Load and CD4 Lymphocytes Regression Models
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.
