Skip to main content

Markov Chain Monte Carlo curve fitting

Project description

Metropolis-Hastings MCMC algorithm, along with helper functions for curve fitting and visualization

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

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

Source Distribution

Squires-McFit-0.1.tar.gz (3.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

Squires_McFit-0.1-py3-none-any.whl (3.7 kB view details)

Uploaded Python 3

File details

Details for the file Squires-McFit-0.1.tar.gz.

File metadata

  • Download URL: Squires-McFit-0.1.tar.gz
  • Upload date:
  • Size: 3.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.13

File hashes

Hashes for Squires-McFit-0.1.tar.gz
Algorithm Hash digest
SHA256 21dcdb9f9f1c4a03edf32c76de9c55e7d34a9bd069edabe586ec487414258458
MD5 dbf53f0b39a20340e225818d32ac1002
BLAKE2b-256 583c902035a4e3cfcdfb6020076b572afd07b27b8a8775c52ccc9b19417e98a8

See more details on using hashes here.

File details

Details for the file Squires_McFit-0.1-py3-none-any.whl.

File metadata

  • Download URL: Squires_McFit-0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.13

File hashes

Hashes for Squires_McFit-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 78e6a937a59a6a782ed083c2a2e7e7e2a6c91a477bc0bcfefc01c126beeb47f2
MD5 afd7df857229a5b9a88fdc77ccb29528
BLAKE2b-256 ce53821a522c1eaba877deedccb4e3441d0a4332e5b6d96449de941d9f5161a2

See more details on using hashes here.

Supported by

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