Research record
Project overview
Estimate and infer target parameters in specified causal models using double/debiased machine learning; identification assumptions remain the researcher's responsibility.
Catalog editorial description
View description sources
editor · 2026-09-18 — Catalog classification and summary; not maintainer acknowledgement.
Research classification
Economics and business
View discipline evidence
editor · 2026-09-18 — 依据原始用途对项目与核心工具提出FORD 5.2分类；属于科研任务子集，不替代开放科研网络整体定位。
Research question
Not supplied. The repository description is not treated as a formal research question.
Sources & versions
- Reference role
- primary
- Last successful public check
- 2026-09-22T08:38:02.404Z
- Latest public check attempt
- 2026-09-22T08:38:02.404Z · ok
- GitHub metrics
- Stars 788 · checked · latest attempt 2026-09-22T08:38:02.404Z (ok)
Forks 128 · checked · latest attempt 2026-09-22T08:38:02.404Z (ok) - Latest default-branch commit
4e51b3ebb8784fb77c3902b0d3c504b46e53149f
Observed 2026-09-22T08:38:02.404Z- Source activity check
- fresh · last successful check 2026-09-22T08:38:02.404Z · latest attempt 2026-09-22T08:38:02.404Z (ok)
- Source status
- Active at last observation
- License
- BSD-3-Clause
- Fixed commit
4e51b3ebb8784fb77c3902b0d3c504b46e53149f- Reference checked
- 2026-09-22
Default-branch activity is separate from the fixed reference above. Source terms apply. A fixed commit identifies content; it does not establish scientific validity.
Related research
Tool
DoubleML Python tool
Estimate and infer target parameters in specified causal models using double/debiased machine learning; identification assumptions remain the researcher's responsibility.
Claims & evidence
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Research questions and code contributions belong with the original project. Catalog corrections can be proposed separately.