dynm: a python package for sequential inference in univariate dynamic models
The dynm is a Python package for sequential inference in univariate dynamic models, enabling the consideration of structural blocks (polynomial, regression, seasonality with Fourier series, autoregressive terms, and transfer functions) to generate future forecasts using predictive distributions and retrospective analysis through the posterior distributions of state-space parameters.
Metadata
Release files for dynm 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dynm-0.0.4.tar.gz | 24.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dynm-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 49.8 kB
Release files / dynm-0.0.4.tar.gz
| Download URL | dynm-0.0.4.tar.gz |
|---|---|
| Size | 24.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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poetry/2.4.1 CPython/3.12.13 Linux/6.17.0-1015-azure
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Release files / dynm-0.0.4-py3-none-any.whl
| Download URL | dynm-0.0.4-py3-none-any.whl |
|---|---|
| Size | 25.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.4.1 CPython/3.12.13 Linux/6.17.0-1015-azure
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