A Collection of Functions for Negligible Effect/Equivalence Testing

Researchers often want to evaluate whether there is a negligible relationship among variables. The 'negligible' package provides functions that are useful for conducting negligible effect testing (also called equivalence testing). For example, there are functions for evaluating the equivalence of means or the presence of a negligible association (correlation or regression). Beribisky, N., Mara, C., & Cribbie, R. A. (2020) . Beribisky, N., Davidson, H., Cribbie, R. A. (2019) . Shiskina, T., Farmus, L., & Cribbie, R. A. (2018) . Mara, C. & Cribbie, R. A. (2017) . Counsell, A. & Cribbie, R. A. (2015) . van Wieringen, K. & Cribbie, R. A. (2014) . Goertzen, J. R. & Cribbie, R. A. (2010) . Cribbie, R. A., Gruman, J. & Arpin-Cribbie, C. (2004) .

negligible

R package for negligible effect/equivalence testing.

This package provides several functions for being able to evaluate whether a negligible effect exists among variables. This could be a negligible difference in means, a negligible correlation, etc. In addition, the package also provides graphics that help researchers interpret the results of the analyses.

Vignettes

For detailed examples and tutorials, check out the vignettes page here, or visit the webpage directly at https://cribbie.info.yorku.ca/negligible-r-package/.

Install and Activate the Package on CRAN:

install.packages("negligible") library(negligible)

Install the Package on github:

1. Install the devtools package (if necessary). In R, paste the following into the console:

install.packages('devtools')

1. Load the devtools package and install from the Github source code.

library('devtools')
install_github('cribbie/negligible')

1. Load the newly installed package by calling

library(negligible)