Introduction
The purpose of this package is to estimate the Quasi-Poisson regression. It is a project in progress.
Should you have any question or suggestion about the package, please feel free to drop me a line.
Authors
WenSui Liu is a seasoned data scientist with 15-year experience in the financial service industry.
Joyce Liu is a college student majoring in Mathematics with a strong passion for data science.
Metadata
Release files for quasi-poisson 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 | |
|---|---|---|---|
| quasi_poisson-0.1.0.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| quasi_poisson-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 kB
Release files / quasi_poisson-0.1.0.tar.gz
| Download URL | quasi_poisson-0.1.0.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.11.7
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Release files / quasi_poisson-0.1.0-py3-none-any.whl
| Download URL | quasi_poisson-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.7
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