Addressing crucial research questions often necessitates a small sample size due to factors such as distinctive target populations, rarity of the event under study, time and cost constraints, ethical concerns, or group-level unit of analysis. Many readily available analytic methods, however, do not accommodate small sample sizes, and the choice of the best method can be unclear. The 'npboottprm' package enables the execution of nonparametric bootstrap tests with pooled resampling to help fill this gap. Grounded in the statistical methods for small sample size studies detailed in Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>, the package facilitates a range of statistical tests, encompassing independent t-tests, paired t-tests, and one-way Analysis of Variance (ANOVA) F-tests. The nonparboot() function undertakes essential computations, yielding detailed outputs which include test statistics, effect sizes, confidence intervals, and bootstrap distributions. Further, 'npboottprm' incorporates an interactive 'shiny' web application, nonparboot_app(), offering intuitive, user-friendly data exploration.
Version: 0.3.2 Depends: R (≥ 2.10) Imports: DT, fGarch, ggplot2, lmPerm, MASS, MKinfer, mmints, shiny, shinythemes, sn Suggests: testthat (≥ 3.0.0) Published: 2024-09-13 DOI: 10.32614/CRAN.package.npboottprm Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd] Maintainer: Mackson Ncube <macksonncube.stats at gmail.com> BugReports: https://github.com/mightymetrika/npboottprm/issues License: MIT + file LICENSE URL: https://github.com/mightymetrika/npboottprm NeedsCompilation: no Materials: README CRAN checks: npboottprm results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=npboottprm to link to this page.
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