HETSAR: Python package to estimate spatial autoregressive models with heterogeneous coefficients
hetsar fits spatial autoregressive panel data models with heterogeneous coefficients. The estimation is performed via quasi maximum-likelihood. See Aquaro, Bailey and Pesaran (J. Appl. Econometrics, 2021) for technical details.
The hetsar package was written in 2021 by Ida Johnsson. It is distributed under the 3-Clause BSD license.
See the source for this project here: https://github.com/ida-j/hetsar.
Installation
Prerequisites
Install dependencies:
$ pip install -r requirements.txt
Install from pip:
$ pip install hetsar
Install from source:
$ git clone https://github.com/ida-j/hetsar.git
$ cd hetsar
$ python setup.py build_ext --inplace
$ python setup.py install
1 maintainer
Metadata
1 maintainer
Release files for hetsar 5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| hetsar-5.1.tar.gz | 109.5 kB | Without provenance | Details for hetsar-5.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| hetsar-5.1-py3-none-any.whl | Python 3 | none | any | Details for hetsar-5.1-py3-none-any.whl |
Total release size: 218.3 kB
Release files / hetsar-5.1.tar.gz
| Download URL | hetsar-5.1.tar.gz |
|---|---|
| Size | 109.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a98f18622a658640a268fcc9a8a2bd76b9ebaa03e436b622e5f705e2f6ce2bc4
|
|
BLAKE2b-256 checksum How to use checksums |
3a3a69ada4d5fe5f1dff7453e14b85bf75b1ef25b6da4601c6a3f776f359c5d3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
|
Release files / hetsar-5.1-py3-none-any.whl
| Download URL | hetsar-5.1-py3-none-any.whl |
|---|---|
| Size | 108.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a9f88e56aa976afdf12c9d67bc3ded9288bf4b651fd9ef01b69a69e3fc7894ad
|
|
BLAKE2b-256 checksum How to use checksums |
84b6843e7a6bbe90176ebc940370031ef66c068d382b6c35630829cf895654d2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
|
Security for hetsar 5.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
