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Functional Machine Learning Framework

A Workflow for Statistical Testing, Interpretation, and 'ggplot2'-Based Visualization

Deep Neural Networks for Survival Analysis with R 'torch'

Functional Programming with Parallelism and Progress Tracking

Fast Masked K-Nearest Neighbor Imputation

Interpretable Survival Machine Learning Framework

Unsupervised Clustering of Individualized Survival Curves

Compact Multiple Imputation, Assessment, and Reporting

Time-Varying Restricted Mean Survival Time from Survival Matrices

Ensemble Conditional Trees for Missing Data Imputation

Monte Carlo Statistical Simulation Tools Using a Functional Approach

Cost-Effectiveness Analysis Toolkit for Clinical Trials

Dense Neural Networks for Tabular Classification and Regression