Package: Connection 0.1.0
Pietro Frascino
Connection: Measures of Independence and Connection Without Linear Models
Provides tools to measure connection and independence between variables without relying on linear models. Includes functions to compute Eta squared, Chi-squared, and Cramer V. The main advantage of this package is that it works without requiring parametric assumptions. The methods implemented are based on educational material and statistical decomposition techniques, not directly on previously published software or articles.
Authors:
Connection_0.1.0.tar.gz
Connection_0.1.0.zip(r-4.7-any)Connection_0.1.0.zip(r-4.6-any)
Connection_0.1.0.tar.gz(r-4.7-any)Connection_0.1.0.tar.gz(r-4.6-any)
Connection_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Connection/json (API)
| # Install 'Connection' in R: |
| install.packages('Connection', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:955736a98d. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 124 | ||
| source / vignettes | OK | 139 | ||
| linux-release | OK | 146 | ||
| windows-devel | OK | 60 | ||
| windows-release | OK | 60 | ||
| wasm-release | OK | 86 |
Exports:Chi_squaredCramer_VEta_squared
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Chi-squared Statistic for Association Between Two Variables | Chi_squared |
| Cramer V Statistic for Strength of Association | Cramer_V |
| Eta Squared Statistic for Strength of Association | Eta_squared |