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viralx (version 1.3.0)

Explainers for Regression Models in HIV Research

Description

A dedicated viral-explainer model tool designed to empower researchers in the field of HIV research, particularly in viral load and CD4 (Cluster of Differentiation 4) lymphocytes regression modeling. Drawing inspiration from the 'tidymodels' framework for rigorous model building of Max Kuhn and Hadley Wickham (2020) , and the 'DALEXtra' tool for explainability by Przemyslaw Biecek (2020) . It aims to facilitate interpretable and reproducible research in biostatistics and computational biology for the benefit of understanding HIV dynamics.

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Version

Install

install.packages('viralx')

Monthly Downloads

67

Version

1.3.0

License

GPL (>= 3)

Maintainer

Juan Pablo Acuña González

Last Published

March 29th, 2024

Functions in viralx (1.3.0)

glob_knn_vis

Global Visualization of SHAP Values for K-Nearest Neighbor Model
viralx_mars

Explain Multivariate Adaptive Regression Splines Model
viralx_knn_glob

Global Explainers for K-Nearest Neighbor Models
viralx_knn

Explain K-Nearest Neighbors Model
viralx_mars_shap

Explain Multivariate Adaptive Regression Splines Using SHAP Values
viralx_knn_shap

Explain K Nearest Neighbor Model using SHAP values
glob_nn_vis

Global Visualization of SHAP Values for Neural Network Model
train2

Training Data for Explainability of Models
glob_cr_vis

Global Visualization of SHAP Values for Cubist Rules Model
viralx_knn_vis

Visualize SHAP Values for K-Nearest Neighbor Model
viralx_mars_vis

Visualize SHAP Values for Multivariate Adaptive Regression Splines Model
viralx_nn_vis

Visualize SHAP Values for Neural Network Model
viralx_nn

Explain Neural Network Regression Model
viralx_nn_shap

Explain Neural Network Model Using SHAP Values
viralx_nn_glob

Global Explainers for Neural Network Models