Nonparametric Estimation and Inference on Dose-Response Curves
Project description
Nonparametric Estimation and Inference on Dose-Response Curves
This package implements the proposed integral estimator and a localized derivative estimator for estimating the covariate-adjusted regression function (or the dose-response curve in causal inference) and its derivative. We also document all the code for simulations and real-world case study in our paper here.
- Free software: MIT license
- Python Package Documentation: https://npdoseresponse.readthedocs.io.
Installation guide
npDoseResponse
requires Python 3.8+ (earlier version might be applicable) and NumPy. To install the latest version of npDoseResponse
from this repository, run:
python setup.py install
To pip install a stable release, run:
pip install npDoseResponse
References
[1] Y. Zhang, Y.-C. Chen, and A. Giessing (2024+) Nonparametric Inference on Dose-Response Curves Without the Positivity Condition arXiv:2405.09003.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file npdoseresponse-0.0.9.tar.gz
.
File metadata
- Download URL: npdoseresponse-0.0.9.tar.gz
- Upload date:
- Size: 10.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cc14fcd7b73eb80d968b63ae3ad56aaa7cf970d494a5187d0f2423176804d96b |
|
MD5 | cf3df471c33e14eacde7014ec10443bb |
|
BLAKE2b-256 | 2d6eb1de73ca382784d73bafa3cf8b2d8a28bdde47819b9407adbc82a03db4a7 |
File details
Details for the file npDoseResponse-0.0.9-py3-none-any.whl
.
File metadata
- Download URL: npDoseResponse-0.0.9-py3-none-any.whl
- Upload date:
- Size: 10.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 817855b6832b8ad9b0b4931a2bb8f86b3e6b4b7853f2b1e5c4dfc23ff0b86810 |
|
MD5 | ae17ad1f5d1656e51813946ddccdfb77 |
|
BLAKE2b-256 | 75330cbc0784ef9ad9da828eb47908a57111a275dbbd2a123eb4458d1d577a01 |