Pack of random korrelations (pork)
Sample your own correlation matrices.
Randomly sampling correlation matrices is useful in various statistical applications, such as Monte Carlo simulations, where you need to generate random data that adheres to a specific correlation structure. However, there is still new research being done in this area, and the methods for generating these matrices can vary in complexity and computational efficiency. This reposity aims to provide methods for sampling correlation matrices that have varying sturctures and properties one might want.
Installation
TODO
Usage
TODO
Available methods
- TODO
- TODO
Metadata
Release files for pork 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 | Provenance | |
|---|---|---|---|---|
| pork-0.1.0.tar.gz | 2.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pork-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.5 kB
Release files / pork-0.1.0.tar.gz
| Download URL | pork-0.1.0.tar.gz |
|---|---|
| Size | 2.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
82b24668cedd71a6b57c9c0da286d65697b5b953fc52c154a113d86b9eb4fdaa
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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 |
uv/0.7.2
|
Release files / pork-0.1.0-py3-none-any.whl
| Download URL | pork-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ae4140684d45bb0bd7b431f6fa7b77e13e25530cb8c8df64c29dfed332afe649
|
|
BLAKE2b-256 checksum How to use checksums |
870a46bfa8b1f746d99150941b4fc605d8aaf4203c5f5a7a3d04ba36989dfd98
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.7.2
|
Security for pork 0.1.0
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