Paneltime estimates regressions on datasets that:
- Are panels (have both a time and a group dimension)
- Are non-stationary in means (ARIMA)
- Are non-stationary in variance (GARCH)
Paneltime jointly handles common time-series problems (ARIMA/GARCH) and panel data with group and time effects. To the best of our knowledge, no other package combines all three in one model.
The package can also be used on pure panel datasets without ARIMA/GARCH or single time-series data with ARIMA/GARCH problems.
Author: Espen Sirnes
Current version: 1.3.2
Installation
Install the package with:
#| eval: false
%pip install paneltime
Formula syntax
Model formulas use the form Y ~ X1 + X2. Expressions supported by NumPy can
be used with np as the alias, for example np.abs(x).
See the Quickstart for a complete model example.
Release files for paneltime 1.3.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| paneltime-1.3.4.tar.gz | 8.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| paneltime-1.3.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.6 MB
Release files / paneltime-1.3.4.tar.gz
| Download URL | paneltime-1.3.4.tar.gz |
|---|---|
| Size | 8.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
29a0bd17a68db0ccb9e9769ce6a9489915e0d992bda8e2083fa494e8aa8e92d7
|
|
BLAKE2b-256 checksum How to use checksums |
828ae07d3e374a05d73cfa03340fceb9e7c040a0bf96ff31b11b8a258b7dc2d6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.5
|
Release files / paneltime-1.3.4-py3-none-any.whl
| Download URL | paneltime-1.3.4-py3-none-any.whl |
|---|---|
| Size | 8.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4ae2526a29bcd372907ac5dccdce7dbd6bdd5f7f6dcef5f88a58e14363e9dec2
|
|
BLAKE2b-256 checksum How to use checksums |
95c5eb1b2a494c06e8aa977424e2bd6411b97d40612753743bd44b554dcfd217
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.5
|