plivwrp
plivwrp provides an intuitive, R-style formula wrapper for Double/Debiased Machine Learning, allowing applied econometricians to estimate Partially Linear Regression (PLR) and Partially Linear IV (PLIV) models seamlessly.
Built on top of DoubleML (Chernozhukov et al., 2018), this package abstracts away the data matrix configuration and nuisance parameter cross-fitting, allowing researchers to estimate causal effects and export publication-ready LaTeX tables using a single string.
Installation
pip install plivwrp
1 maintainer
Metadata
1 maintainer
Release files for plivwrp 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| plivwrp-0.1.0.tar.gz | 2.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| plivwrp-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.8 kB
Release files / plivwrp-0.1.0.tar.gz
| Download URL | plivwrp-0.1.0.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / plivwrp-0.1.0-py3-none-any.whl
| Download URL | plivwrp-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/7.0.0 CPython/3.14.3
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