Junyi Zhou's repositories
MetaLearners
The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under development.
clusterMLD
Clustering longitudinal data with potential sparse, irregular observations, multiple outcomes, and unbalanced cluster sizes
OptTrialDesign
This package is used to find the optimal clinical trial design that balance between financial outcomes and regulatory concerns.
BivarIntCensored
Package estimates the joint cumulative distribution function (CDF) of bivariate interval-censored event time data by spline-based sieve nonparametric maximum likelihood estimator (NPMLE)
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
clusterMLD_ShinyApp
The shiny app implementing package ClusterLong to visualize the process and results of clustering longitudinal data
hugo-lithium
Lithium - A simple responsive Hugo theme
OptTrialDesign_ShinyApp
The Shiny App corresponding to package OptTrialDesign.
uReMix_R
Unsupervised REgression MIXtures (uReMix)