Package: mhtopt 1.0.0
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.
Authors:
mhtopt_1.0.0.tar.gz
mhtopt_1.0.0.zip(r-4.7-any)mhtopt_1.0.0.zip(r-4.6-any)mhtopt_1.0.0.zip(r-4.5-any)
mhtopt_1.0.0.tgz(r-4.6-any)mhtopt_1.0.0.tgz(r-4.5-any)
mhtopt_1.0.0.tar.gz(r-4.7-any)mhtopt_1.0.0.tar.gz(r-4.6-any)
mhtopt_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mhtopt/json (API)
| # Install 'mhtopt' in R: |
| install.packages('mhtopt', repos = c('https://erickrl6-dot.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dviviano/mhtopt/issues
Last updated from:7fdb571e42. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 141 | ||
| source / vignettes | OK | 186 | ||
| linux-release | OK | 135 | ||
| macos-release | OK | 121 | ||
| macos-oldrel | OK | 187 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 60 | ||
| windows-oldrel | OK | 75 | ||
| wasm-release | OK | 110 |
Exports:mht_cost_estimatemht_criticalmht_estmht_tablemht_test
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimate Cost Function Parameters for MHT Adjustment | mht_cost_estimate |
| Compute Optimal MHT Critical Values | mht_critical |
| Apply MHT Testing Directly to a Fitted Model (Postestimation) | mht_est |
| Generate Table of Optimal Critical Values | mht_table |
| Perform Hypothesis Tests with Optimal MHT Adjustment | mht_test |
