Package: negligible 0.1.9

negligible: 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) <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>.

Authors:Robert Cribbie [aut, cre], Udi Alter [aut], Nataly Beribisky [aut], Phil Chalmers [aut], Alyssa Counsell [aut], Linda Farmus [aut], Naomi Martinez Gutierrez [aut], Victoria Ng [ctb]

negligible_0.1.9.tar.gz
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negligible_0.1.9.tar.gz(r-4.5-noble)negligible_0.1.9.tar.gz(r-4.4-noble)
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negligible.pdf |negligible.html✨
negligible/json (API)

# Install 'negligible' in R:

install.packages('negligible', repos = c('https://cribbie.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cribbie/negligible/issues

Datasets:

perfectionism - Perfectionism Data

On CRAN:

equivalence-testing negligible-effect-statistical-testing negligible-effect-testing statistics

4.00 score 4 stars 10 scripts 369 downloads 16 exports 148 dependencies

Last updated 5 months agofrom:17fd6b5bfd. Checks:1 OK, 8 ERROR. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 04 2025
R-4.5-win	ERROR	Mar 04 2025
R-4.5-mac	ERROR	Mar 04 2025
R-4.5-linux	ERROR	Mar 04 2025
R-4.4-win	ERROR	Mar 04 2025
R-4.4-mac	ERROR	Mar 04 2025
R-4.4-linux	ERROR	Mar 04 2025
R-4.3-win	ERROR	Mar 04 2025
R-4.3-mac	ERROR	Mar 04 2025

Exports:neg.cat neg.cfi neg.cor neg.esm neg.indvars neg.intcat neg.intcont neg.normal neg.paired neg.pd neg.reg neg.rmsea neg.semfit neg.srmr neg.twocors neg.twoindmeans

Dependencies:abind arm askpass backports BH bit bit64 boot broom car carData cellranger class cli clipr clue cluster coda codetools colorspace cowplot cpp11 crayon curl CVXR data.table DEoptim Deriv DescTools digest doBy dplyr e1071 ECOSolveR Exact expm ez fansi farver forcats foreach foreign Formula fungible GA generics ggplot2 gld glue gmp GPArotation gtable haven hms httr isoband iterators jsonlite kutils labeling lattice lavaan lifecycle lme4 lmom magrittr MASS Matrix MatrixModels MBESS mcmc MCMCpack mgcv mi microbenchmark mime minqa mnormt modelr munsell mvtnorm nleqslv nlme nloptr nnet nptest numDeriv OpenMx openssl openxlsx osqp pbivnorm pbkrtest pbmcapply pillar pkgconfig plyr prettyunits progress proxy purrr quadprog quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rcsdp Rdpack readr readxl reformulas rematch reshape reshape2 rlang Rmpfr rockchalk rootSolve rpf RSpectra rstudioapi RUnit scales scs sem semTools SparseM StanHeaders stringi stringr survival sys tibble tidyr tidyselect tzdb utf8 vctrs viridisLite vroom withr WRS2 xtable zip

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Equivalence Testing for Categorical Variables	neg.cat print.neg.cat
Equivalence Tests for CFI	neg.cfi print.neg.cfi
Test for Lack of Association between Two Continuous Normally Distributed Variables: Equivalence-based correlation tests	neg.cor print.neg.cor
Test for Evaluating Substantial Mediation	neg.esm print.neg.esm
Negligible Effect Test for Variances of Independent Populations	neg.indvars print.neg.indvars
Test for Negligible Interaction between Two Categorical Variables with a Continuous Outcome	neg.intcat print.neg.intcat
Negligible Interaction Test for Continuous Predictors	neg.intcont print.neg.intcont
Negligible Effect Test for Normality of a Univariate Distribution	neg.normal print.neg.normal
Negligible Effect Test on the Difference between the Means of Dependent Populations	neg.paired print.neg.paired
Proportional Distance Function (post hoc function - not to be used independently)	neg.pd
Test for Evaluating Negligible Effect Between a Predictor and Outcome in a Multiple Regression Model	neg.reg print.neg.reg
Equivalence Tests for RMSEA	neg.rmsea print.neg.rmsea
Equivalence Tests for Fit Indices	neg.semfit
Equivalence Tests for SRMR	neg.srmr print.neg.srmr
Test for Evaluating Negligible Effects of Two Independent or Dependent Correlation Coefficients: Based on Counsell & Cribbie (2015)	neg.twocors print.neg.twocors
Negligible Effect Test on the Difference between the Means of Independent Populations	neg.twoindmeans print.neg.twoindmeans
Perfectionism Data	perfectionism