A Collection of Functions for Negligible Effect/Equivalence Testing

[Up] [Top]

Documentation for package ‘negligible’ version 0.1.3

Help Pages

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