npboottprmFBar: Informative Nonparametric Bootstrap Test with Pooled Resampling
Sample sizes are often small due to hard to reach target populations,
rare target events, time constraints, limited budgets, or ethical considerations.
Two statistical methods with promising performance in small samples are the
nonparametric bootstrap test with pooled resampling method, which is the
focus of Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>,
and informative hypothesis testing, which is implemented in the 'restriktor'
package. The 'npboottprmFBar' package uses the nonparametric bootstrap test
with pooled resampling method to implement informative hypothesis testing.
The bootFbar() function can be used to analyze data with this method and the
persimon() function can be used to conduct performance simulations on type-one
error and statistical power.
| Version: |
0.2.0 |
| Imports: |
DT, fGarch, lmPerm, mmints, npboottprm, restriktor, shiny |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2024-09-08 |
| DOI: |
10.32614/CRAN.package.npboottprmFBar |
| Author: |
Mackson Ncube [aut, cre],
mightymetrika, LLC [cph, fnd] |
| Maintainer: |
Mackson Ncube <macksonncube.stats at gmail.com> |
| BugReports: |
https://github.com/mightymetrika/npboottprmFBar/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/mightymetrika/npboottprmFBar |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
npboottprmFBar results |
Documentation:
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