Skip to main content

A Python package for Trending Time-Varying Time Series Models

Project description

PyTimeVar

A Python package for Trending Time-Varying Time Series Models

Purpose of the Package

The PyTimeVar package offers state-of-the-art estimation and statistical inference methods for time series regression models with flexible trends and/or time- varying coefficients.

Features

  • Nonparametric estimation of time-varying time series models, along with multiple bootstrap-assisted inference methods
  • Alternative estimation methods for modelling trend and time-varying relationships.
  • Unified framework for comparison of methods.
  • Four datasets for illustration.

Getting Started

The PyTimeVar can implemented as a PyPI package. To download the package in your Python environment, use the following command:

pip install PyTimeVar

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pytimevar-0.0.2.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

pytimevar-0.0.2-py3-none-any.whl (1.0 MB view details)

Uploaded Python 3

File details

Details for the file pytimevar-0.0.2.tar.gz.

File metadata

  • Download URL: pytimevar-0.0.2.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for pytimevar-0.0.2.tar.gz
Algorithm Hash digest
SHA256 bfb5feb284aeafd0ac989682fdc1e85ffbd80a1b9f2f8b07905c23cbf38cc1cd
MD5 2e22128c08bc8da0ecb69f68739edeca
BLAKE2b-256 6ea8006f6596c001827e53b5e5d5773bd6abb31ba726bf5a0b4a30cc3691db1d

See more details on using hashes here.

File details

Details for the file pytimevar-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: pytimevar-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for pytimevar-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 bd0eec7d9cd62613db27a5a116f83d9f1b133adcf8a1f28e303a724debf98eb2
MD5 7d5e0fb14e9d95153d5f9f615542fa48
BLAKE2b-256 38f71e7a536a813767d39b10e8f9f2dd858f90a41dd589a540f2b854724aab52

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page