Python port of the hetset R package. Allows for the partial identification of causal effects that vary heterogeneously across settings, as in Huntington-Klein (2025). Uses statsmodels for regression and PySensemakr for sensitivity analysis.
Metadata
Release files for hetset 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| hetset-0.1.0.tar.gz | 16.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hetset-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.2 kB
Release files / hetset-0.1.0.tar.gz
| Download URL | hetset-0.1.0.tar.gz |
|---|---|
| Size | 16.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
d4d5036bc985ae91cc5c85e6a79013ead576578a5500ea8ee74f231292f6957a
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BLAKE2b-256 checksum How to use checksums |
0ee2c72ed7f852c9eb76cc2929f38c33b269fa983c6e89f585c73fef1fb28ae3
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.13
|
Release files / hetset-0.1.0-py3-none-any.whl
| Download URL | hetset-0.1.0-py3-none-any.whl |
|---|---|
| Size | 20.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
75e04a4f068db0953c8f667a2ddbcf8a2bdb6825b54b9992226aae42d99161ff
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BLAKE2b-256 checksum How to use checksums |
f84256215d715e7fc2ecc6701da03cfe477baff92a63bb2dbf561ec143299a88
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.13
|
Security for hetset 0.1.0
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