mhtopt: Optimal Multiple Hypothesis Testing Corrections
Implements the optimal multiple hypothesis testing correction from
Viviano, Wuthrich, and Niehaus (2026) <doi:10.48550/arXiv.2104.13367>. Derives the
optimal per-test significance level from the economic incentives of research
production, providing a correction that lies between Bonferroni (too
conservative) and unadjusted (too permissive). Supports two cost models: a
Linear one calibrated to United States Food and Drug Administration (FDA)
clinical-trial costs, and a Cobb-Douglas one calibrated to Abdul Latif
Jameel Poverty Action Lab (J-PAL) project costs. Reports optimal,
Bonferroni, Holm, Benjamini-Hochberg (BH), and unadjusted results side by
side.
| Version: |
1.0.0 |
| Imports: |
stats |
| Suggests: |
testthat (≥ 3.0.0), haven, fixest, estimatr, knitr, rmarkdown |
| Published: |
2026-07-29 |
| DOI: |
10.32614/CRAN.package.mhtopt (may not be active yet) |
| Author: |
Davide Viviano [aut],
Kaspar Wuthrich [aut],
Paul Niehaus [aut],
Erick Rosas Lopez [cre, ctb] |
| Maintainer: |
Erick Rosas Lopez <erosaslpez at ucsd.edu> |
| BugReports: |
https://github.com/dviviano/mhtopt/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/dviviano/mhtopt |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
mhtopt citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
mhtopt results |
Documentation:
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