Skip to main content

No project description provided

Project description

Overview

What does this package do?

This package is designed to support various methods for statistical analysis. In particular, we hope to offer tools for computing Shapley effects and Proportional Marginal Effects (PMEs) for a variety of models.

Current features

The gsapme package is a work in progress. We currently support the following features:

  1. Computation of conditional multivariate normal distributions (conditional_mvn)
  2. Conditional simulations from a multivariate normal distribution (cond_sim)
  3. Covariance matrix construction helper function (generate_cov_matrix)

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

gsapme-0.1.1.tar.gz (4.0 kB view details)

Uploaded Source

Built Distribution

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

gsapme-0.1.1-py3-none-any.whl (5.2 kB view details)

Uploaded Python 3

File details

Details for the file gsapme-0.1.1.tar.gz.

File metadata

  • Download URL: gsapme-0.1.1.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.9.13 Darwin/23.1.0

File hashes

Hashes for gsapme-0.1.1.tar.gz
Algorithm Hash digest
SHA256 b08fd252d4fd963cf2f39954d15d1715e8b0e6dea0e682a7f091e1d300227dd2
MD5 a1317ffdeed7c21084cf0183437753e8
BLAKE2b-256 56d5a6907ebc79f3e65b4f72eb4def8aa111944037229e7ca91e902e18a89596

See more details on using hashes here.

File details

Details for the file gsapme-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: gsapme-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 5.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.9.13 Darwin/23.1.0

File hashes

Hashes for gsapme-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7a2d16235513dd7ba88173b262bd1a1f2560c8467aad4616162d5f2c822302df
MD5 ab064d5f05572f1994e59ae293abe7f2
BLAKE2b-256 29f65471d0c22dfb19ea316d12f902fa5d04cdc1655d7ca3fc23953d508bb28a

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