Akshat Causal Toolkit
[
A Python package for causal inference methods including ATE estimation, propensity scores, and meta-learners.
Installation
pip install akshat-causal-toolkit
Quick Start
from akshat_causal_toolkit import (
calculate_ate_ci,
calculate_ate_pvalue,
ipw,
doubly_robust,
s_learner_discrete,
t_learner_discrete,
x_learner_discrete,
double_ml_cate,
)
1 maintainer
Release files for akshat-causal-toolkit 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 | |
|---|---|---|---|
| akshat_causal_toolkit-0.1.0.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| akshat_causal_toolkit-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.6 kB
Release files / akshat_causal_toolkit-0.1.0.tar.gz
| Download URL | akshat_causal_toolkit-0.1.0.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / akshat_causal_toolkit-0.1.0-py3-none-any.whl
| Download URL | akshat_causal_toolkit-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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