The R package gset calculates equivalence and futility boundaries based on the exact bivariate non-central t test statistics. It is the first R package that targets specifically at the group sequential test of equivalence hypotheses. The exact test approach adopted by gset neither assumes the large-sample normality of the test statistics nor ignores the contribution to the overall Type I error rate from rejecting one out of the two one-sided hypotheses under a null value. The features of gset include: error spending functions, computation of equivalence boundaries and futility boundaries, either binding or nonbinding, depiction of stagewise boundary plots, and operating characteristics of a given group sequential design including empirical Type I error rate, empirical power, expected sample size, and probability of stopping at an interim look due to equivalence or futility.
gsDesign, GroupSeq, Hmisc, PwrGSD, AGSDest, clinfun
ClinicalTrials, ExperimentalDesign, Bayesian, Econometrics, Multivariate, OfficialStatistics, ReproducibleResearch, SocialSciences, Survival
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For attribution, please cite this work as
Liu, "The R Journal: gset: An R Package for Exact Sequential Test of Equivalence Hypothesis Based on Bivariate Non-Central t-Statistics", The R Journal, 2015
BibTeX citation
@article{RJ-2014-033,
author = {Liu, Fang},
title = {The R Journal: gset: An R Package for Exact Sequential Test of Equivalence Hypothesis Based on Bivariate Non-Central t-Statistics},
journal = {The R Journal},
year = {2015},
note = {https://doi.org/10.32614/RJ-2014-033},
doi = {10.32614/RJ-2014-033},
volume = {6},
issue = {2},
issn = {2073-4859},
pages = {174-184}
}