semvec/pypi-packages huggingface dataset:
hetsar 5.1
Estimation of spatial autoregressive panel data models with heterogeneous coefficients
Requires Python: >=3.6

# 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
tcsprotowhat 2.1.0
Prototype package for submission correctness testing

# protowhat

[![Build Status](https://travis-ci.org/datacamp/protowhat.svg?branch=master)](https://travis-ci.org/datacamp/protowhat)
[![codecov](https://codecov.io/gh/datacamp/protowhat/branch/master/graph/badge.svg)](https://codecov.io/gh/datacamp/protowhat)
[![PyPI version](https://badge.fury.io/py/protowhat.svg)](https://badge.fury.io/py/protowhat)
[![FOSSA Status](https://app.fossa.io/api/projects/git%2Bgithub.com%2Fdatacamp%2Fprotowhat.svg?type=shield)](https://app.fossa.io/projects/git%2Bgithub.com%2Fdatacamp%2Fprotowhat?ref=badge_shield)

`protowhat` is a utility package required by `shellwhat` and `sqlwhat` packages, used for writing Submission Correctness Tests SCTs for interactive Shell and SQL exercises on DataCamp. It contains shared functionality related to SCT syntax, selectors and state manipulation.

- If you are new to teaching on DataCamp, check out https://instructor-support.datacamp.com.
- If you want to learn what SCTs are and how they work, visit [this article](https://instructor-support.datacamp.com/courses/course-development/submission-correctness-tests) specifically.
- For a deep dive in `protowhat`, consult https://protowhat.readthedocs.io.

## Installation

```
pyenv local 3.9.0
pip3.9 install protowhat   # install from pypi
make install            # install from source
```

## Testing

```
pip3.9 install -e .
pytest
```


## License
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