xtdml
0.1.12Double Machine Learning for Static Panel Models with Fixed Effects
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Overview
About
The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) doi:10.1093/ectj/utaf011. 'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) doi:10.18637/jss.v108.i03 using the 'mlr3' ecosystem.
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- OK2026-06-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0712 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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xtdml
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Dependencies
Declared dependencies
16 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (16)
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rpartmlr3pipelinesbbotk
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Authors (1)
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Package metadata
- First published
- 2025-09-08
- Total releases
- 7 / 1 yrs
- License
- GPL-2 | GPL-3 OSI
- Download size
- 35 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet