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mhtopt  

Optimal Multiple Hypothesis Testing Corrections
View on CRAN: Click here


Download and install mhtopt package within the R console
Install from CRAN:
install.packages("mhtopt")

Install from Github:
library("remotes")
install_github("cran/mhtopt")

Install by package version:
library("remotes")
install_version("mhtopt", "1.0.0")



Attach the package and use:
library("mhtopt")
Maintained by
Erick Rosas Lopez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-29
Latest Update: 2026-07-29
Description:
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.
How to cite:
Erick Rosas Lopez (2026). mhtopt: Optimal Multiple Hypothesis Testing Corrections. R package version 1.0.0, https://cran.r-project.org/web/packages/mhtopt. Accessed 22 Sep. 2026.
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Complete documentation for mhtopt
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Full mhtopt package functions and examples
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