• sox (R package, using c++) 

           Structural learning in time-dependent Cox models

• CausalMetaR (R package) 

           Transporting average/subgroup treatment effects from multi-source data to a target population (internal/external) 

• penalizedG (R package)

             Doubly robust penalized G-estimator for the causal effect estimation of a time-varying exposure with a simultaneous selection of effect modifiers in structural nested models for repeated outcomes.

• SelectionDictionary (R, Rshiny app coming soon)

           Producing all permissible subset of variables that satisfy an arbitrary selection rules

• USVS (Python, Gurobi)

           Structural Best Subset Selection: a unified variable selection method that can incorporate any selection rules.

• ct-SFTM (R)

           Simulation code for continuous time-structural failure time model with intermittent treatment.
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• MDRTB_TMLE (R)

           Transportable targeted learning
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• HybridControl-early (R)

           Code of a massive simulation for assessing hybrid control methods (frequentist and Bayesian, existing and proposed) in early phase trials.