Stars
Tools for Flexible Survival Analysis Using Machine Learning
Implications of vaccination status misclassification for manuscript
📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
An R package for analyzing data from stepped wedge cluster randomized trials
Explainable Machine Learning in Survival Analysis
Perform Inference on Summaries of Longidutinal Algorithm-Agnostic Variable Importance
An open-source framework for statistical simulations in R
Ensemble feature ranking for SuperLearner variable selection
Open source package for Survival Analysis modeling
SurvSHAP(t): Time-dependent explanations of machine learning survival models
MultiSplit: Hypothesis testing with multiple data splits and exchangeable p-values
An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various m…
Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.
Parametric Survey-weighted Survival models for Synthetic children across Time
Fully Bayesian Benchmarking for spatio-temporal models
Perform inference on algorithm-agnostic variable importance
Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.
Regression, Inference, and General Data Analysis Tools for R