三 R package: An Inclusive, Unifying API for Progress Updates

Official Git repository of R package netmeta

Tools for making beautiful & useful command line interfaces

Black-box optimization framework for R.

Ensemble feature ranking for SuperLearner variable selection

The R Installation Manager

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Random Generation of Survival Data

Croissant is a high-level format for machine learning datasets that brings together four rich layers.

Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)

Benchmark for Burk et al. (2024)

Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model

Causal Inference using Bayesian Additive Regression Trees

IVON optimizer for neural networks based on variational learning.

The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or me…

Manipulate manifests for Siemens Teamplay

Resources for Machine Learning Explainability

A GlobalProtect VPN client for Linux, written in Rust, based on OpenConnect and Tauri, supports SSO with MFA, Yubikey, and client certificate authentication, etc.

Downloads and prepares public PDAC data for analysis, and provides some basic tools for this analysis.

Missing value imputation in methylation data R package

Explainable Machine Learning in Survival Analysis

Penalized Semiparametric Bayesian Cox Models

Additional univariate and multivariate distributions

An R package for Multi-Task Logistic Regression.

Discrete Bayesian Additive Regression Trees Sampler

Trees are all you need