double-machine-learning plugins

The directory indexes 1 plugins tagged “double-machine-learning” from 1 public source repositories, with 0 skills and 0 MCP servers across the collection.

1 plugins1 repositories0 cross-runtimeIndexing methodology →

tag: double-machine-learning Clear all

empirical-analysis-python
by Bryce Wang
Explicit 8-step empirical-analysis pipeline in the traditional Python econometrics stack (pandas + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml). Data cleaning → variable construction → Table 1 → diagnostics → estimation (OLS / IV / DID / RDD / PSM / SCM / DML / Causal Forest) → robustness battery → mechanism / heterogeneity / mediation → publication-ready tables & figures. Also covers epidemiology (TMLE / IPTW / Mendelian randomization / survival) and ML-causal (DML / meta-learners / Dragonnet) modes. Every line is explicit and swappable — built for teaching, referee-level audit, and strict replication.
Claude Code
4.4kUpdated 4 hours ago