equivNorm

This R package implements methods to prove normality (or even another distributions) using an equivalence approach. Simulation functions can be used to measure the effectiveness (in terms of Type One Error Probability and Power) of pretest to prove normality when testing means difference, in addtition the robustness of t-Student and Wilcoxon text can be obtained

The main purpose of this package is show the functions who computed the results of the paper Goodness and Lack of fit to pretest normality when means comparison tests

Installation instructions

equivNorm package has to be installed with a working R version (>=4.2.0). Installation could take a few minutes on a regular desktop or laptop. Package can be installed from devtools package, then it needs to be loaded using library(equivNorm)

To install from Github

devtools::install_github("pablof1988/equivNorm")

Basic ideas and concepts

equivNorm package provides the following functions:

lackFitTest: Prove if a sample comes from a target distribution through an equivalence approach.
normequiv: Prove if a sample comes from a normal distribution through an equivalence approach.
rnonorm: Generates random numbers from non normal distributions using the Fleishman's coefficients.
epsilon: Compute a non arbitrary epsilon value of irrelevance for an equivalence normality test of lack of fit
rejectH0: Simulation function to estimate the Type I error probability and power of hypothesis tests.
bothTests & tiepT: These are complementary simulation function whose main purpose is to help to rejectH0 function.

Contribution Guidelines

Contributions are welcome, if you wish to contribute or give ideas to improve the package, please you can contact with maintainer (Pablo Flores) to the addres p_flores@espoch.edu.ec, and we can discuss your suggestion.