BINSREG

The binsreg package provides tools for statistical analysis using the binscatter methods.

  • binsreg: implements binscatter least squares regression with robust inference and plots, including curve estimation, pointwise confidence intervals and uniform confidence band.
  • binsqreg: implements binscatter quantile regression with robust inference and plots, including curve estimation, pointwise confidence intervals and uniform confidence band.
  • binsglm: implements binscatter generalized linear regression with robust inference and plots, including curve estimation, pointwise confidence intervals and uniform confidence band.
  • binstest: implements binscatter-based hypothesis testing procedures for parametric specifications of and shape restrictions on the unknown function of interest.
  • binspwc: implements hypothesis testing procedures for pairwise group comparison of binscatter estimators.
  • binsregselect: implements data-driven number of bins selectors for binscatter implementation using either quantile-spaced or evenly-spaced binning/partitioning.

All the commands allow for covariate adjustment, smoothness restrictions, and clustering, among other features. See Cattaneo, Crump, Farrell and Feng (2024, 2025, 2026) for references.

Website: https://nppackages.github.io/.

Source code: https://github.com/nppackages/binsreg.

Authors

Matias D. Cattaneo (matias.d.cattaneo@gmail.com)

Richard K. Crump (richard.crump@gmail.com)

Max H. Farrell (mhfarrell@gmail.com)

Yingjie Feng (fengyingjiepku@gmail.com)

Ricardo Masini (ricardo.masini@gmail.com)

Installation

To install/update use pip

pip install binsreg

Usage

from binsreg import binsregselect, binsreg, binsqreg, binsglm, binstest, binspwc

Dependencies

  • numpy
  • pandas
  • scipy
  • statsmodels
  • plotnine

References

For overviews and introductions, see NP Packages website.

Software and Implementation

Technical and Methodological

Project links

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  • Released:
Newer release available (3.2.1)

Owner

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Credits

Author: Matias D. Cattaneo, Richard K. Crump, Max H. Farrell, Yingjie Feng, Ricardo Masini

Maintainer: Matias D. Cattaneo

GitHub Statistics

Data verified by PyPI on Aug 20, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

GPL-3.0-only

Requires

Python >=3.10

Provides Extra

dev

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