Skip to main content

Statistical package focused on linear regression and statistics.

Project description

Intro

Hi Everyone!

This repository contains a statistical software package written in Cython. All matrix algebra and statistical formulas are coded by hand, leveraging Cython's static variable declaration and memory views for more efficient operations.

My Auto Linear Transformation (ALTOLS) algorithm is also included in this package. While the traditional OLS approach assumes all independent variables have a linear relationship with the response variable, this tests for non linear relationships to see if this leads to an improvement in model performance.

Full documentation is available in the package with the help command.

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

MASA-1.1.tar.gz (502.4 kB view details)

Uploaded Source

Built Distribution

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

MASA-1.1-cp39-cp39-win_amd64.whl (498.8 kB view details)

Uploaded CPython 3.9Windows x86-64

File details

Details for the file MASA-1.1.tar.gz.

File metadata

  • Download URL: MASA-1.1.tar.gz
  • Upload date:
  • Size: 502.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for MASA-1.1.tar.gz
Algorithm Hash digest
SHA256 1b06b8cb292133bc4d65c5e15d4bd3ed2bd261ee5e49d439ea60525753d80c71
MD5 c5b54290d6f749d81aba88e87d588a29
BLAKE2b-256 b2b73517bbbad68f9f6e6e996e8fdca4a09a45c489f9976813dd32b310637b0e

See more details on using hashes here.

File details

Details for the file MASA-1.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: MASA-1.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 498.8 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for MASA-1.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d8339c623f784a84de4e0da901fe3a4e52cde7c275bb8ab8662b2828df3491e1
MD5 8811b571b45776f825ac915115185035
BLAKE2b-256 f41ca4251f400ecad5ac75e25e3b7a50ff0d7b3e453364083855579161f8ef57

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