negligible

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) doi:10.20982/tqmp.16.4.p424. Beribisky, N., Davidson, H., Cribbie, R. A. (2019) doi:10.7717/peerj.6853. Shiskina, T., Farmus, L., & Cribbie, R. A. (2018) doi:10.20982/tqmp.14.3.p167. Mara, C. & Cribbie, R. A. (2017) doi:10.1080/00220973.2017.1301356. Counsell, A. & Cribbie, R. A. (2015) doi:10.1111/bmsp.12045. van Wieringen, K. & Cribbie, R. A. (2014) doi:10.1111/bmsp.12015. Goertzen, J. R. & Cribbie, R. A. (2010) doi:10.1348/000711009x475853. Cribbie, R. A., Gruman, J. & Arpin-Cribbie, C. (2004) doi:10.1002/jclp.10217.