viral

This dataset serves as input for predictive modeling tasks related to HIV
research. It contains numeric measurements of CD4 lymphocyte counts (cd) and
viral load (vl) at three different time points: 2019, 2021, and 2022. These
measurements are crucial indicators of HIV disease progression.

datasets

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.

Juan Pablo Acuña González

viraldomain

Applicability Domain Methods of Viral Load and CD4 Lymphocytes

viral function

A tibble (data frame) with 35 rows and 6 columns.

Format

Juan Pablo Acuña González <a href="/link/acua6307%40gmail.com?package=viraldomain&version=0.0.6" data-mini-rdoc="viraldomain::acua6307@gmail.com">acua6307@gmail.com</a>

Author

Predictive Modeling Data for Viral Load and CD4 Lymphocyte Counts — viral

Juan Pablo Acuña González <a href='mailto:acua6307@gmail.com'>acua6307@gmail.com</a>

viral: Predictive Modeling Data for Viral Load and CD4 Lymphocyte Counts

Description

Usage

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Author

Examples