Optimal Multiple Hypothesis Testing Corrections R package mhtopt version 1.0.0 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. Software Imports: stats Suggests: testthat (>= 3.0.0), haven, fixest, estimatr, knitr, rmarkdown Erick Rosas Lopez <erosaslpez@ucsd.edu> Comprehensive R Archive Network (CRAN) Davide Viviano [aut], Kaspar Wuthrich [aut], Paul Niehaus [aut], Erick Rosas Lopez [cre, ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=mhtopt/LICENSE) 2026-07-29 application/tgz https://CRAN.R-project.org/package=mhtopt doi:10.32614/CRAN.package.mhtopt en-US