Skip to main content

Reliability Stability

Description

reliability-stability is a simple python package, which takes a csv or other pandas compatable data file and gives the reliability and stability of three columns for test-retest reliability and stability.

nimh-mbdu

The reliability and stability calculations, as well as an assumption test, are based on the 1969 paper from Heise, D. R. 'Separating Reliability and Stability in Test-Retest Correlation'.

Installation

pip install reliability stability:

>>> pip install reliability-stability-calc

Usage

reliability stability is a python package with fuctions defined to:

  1. calculate correlation between two data columns (calc_correlation)
  2. calculate the test-retest reliability between three data columns (calc_reliability)
  3. calculate the test-retest stability between three data columns (calc_stability)
  4. perform an assumption test with a fourth column (assumption_test)
  5. implement a bootstap test to test assumptions (bootstrap_assumption_test)

Refer to the documentation for more examples and narrative guides.

Citations

Heise, D. R. (1969). Separating reliability and stability in test-retest correlation. American Sociological Review, 34(1), 93–101. https://doi.org/10.2307/2092790

Release files for reliability-stability-calc 0.0.4

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

Source distribution (sdist)

Source distribution for reliability-stability-calc 0.0.4
File Size Uploaded
reliability-stability-calc-0.0.4.tar.gz 3.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for reliability-stability-calc 0.0.4
File Interpreter ABI Platform
reliability_stability_calc-0.0.4-py3-none-any.whl Python 3 none any Details

Total release size: 8.8 kB

Release files / reliability-stability-calc-0.0.4.tar.gz

Download URL reliability-stability-calc-0.0.4.tar.gz
Size 3.4 kB
Tags Source
SHA-256 checksum
How to use checksums
1d6f5a4b7bee12403d4467b22bb629205c87f7cd13ce088a781aa13e1a5c5a3a
BLAKE2b-256 checksum
How to use checksums
a87ae8c9f565ddf73d9e77201901737d46f88436612be4b810d24466851319b1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.12.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.16

Release files / reliability_stability_calc-0.0.4-py3-none-any.whl

Download URL reliability_stability_calc-0.0.4-py3-none-any.whl
Size 5.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fa702306a227155160d3d6440fb5533661e0ebdfd7672efa46de9fba27dd9ec3
BLAKE2b-256 checksum
How to use checksums
ba9dc1b63ebdd0ada28ab717719e7a4dc2b1b04c7a84d5505096607d25d57ccd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.12.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.16

Release history Release notifications | RSS feed

This release

0.0.4 This release

2 release files

0.0.3

2 release files

0.0.2

2 release files

0.0.1

2 release files

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