Skip to main content

Python CovRegpy Package

Regularised covariance regression software based on Hoff and Niu (2012) - see https://arxiv.org/pdf/1102.5721.

This package was developed out of research performed by Cole van Jaarsveldt, Gareth W. Peters, Matthew Ames, and Mike Chantler. This package was built entirely using Python 3.11.5 - Python guarantees backwards compatibility which should ensure that this software package functions as expected on all future Python versions. See:

van Jaarsveldt, C., Peters, G., Ames, M., & Chantler, M. (2024) Package CovRegpy: Regularized covariance regression and forecasting in Python. Annals of Actuarial Science, First View. doi:10.1017/S1748499524000101 url: https://dx.doi.org/10.1017/S1748499524000101

Metadata

Release files for CovRegpy 0.0.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for CovRegpy 0.0.7
File Size Uploaded Provenance Actions
CovRegpy-0.0.7.tar.gz 25.4 kB Without provenance Details for CovRegpy-0.0.7.tar.gz

Release files / CovRegpy-0.0.7.tar.gz

Download URL CovRegpy-0.0.7.tar.gz
Size 25.4 kB
Tags Source
SHA-256 checksum
How to use checksums
63f6c20c231f3f0f85b52f1294bb4bef114cf95d2cb410e2e5456380c7e85544
BLAKE2b-256 checksum
How to use checksums
6afa27a129eb0f5c097446d410a5ae2d57b768326435b98f8c49e9fba2e3683c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.4

Security for CovRegpy 0.0.7

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.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page