Factual package intelligence from PyPI

did-multiplegt-stat 0.1.1 package intelligence

Heterogeneity-robust difference-in-differences (DID) estimators (AS, WAS, IV-WAS) with stayers, for binary, discrete, or continuous treatments. Python port of the Stata `did_multiplegt_stat` package.

pip install did-multiplegt-stat

Current version
0.1.1
Python requirement
>=3.10
License
GPL-3.0-or-later
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
870.4 KiB
Release history
2 releases with files
Median release cadence
32 days

did-multiplegt-stat dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.7
  2. numpy >=1.24
  3. pandas >=2.0
  4. patsy >=0.5
  5. scikit-learn >=1.3
  6. scipy >=1.10
  7. statsmodels >=0.14

The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

did-multiplegt-stat publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

Security snapshot for did-multiplegt-stat 0.1.1

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .