<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>erickrl6-dot.r-universe.dev</title><link>https://erickrl6-dot.r-universe.dev</link><description>Recent package updates in erickrl6-dot</description><generator>R-universe</generator><image><url>https://github.com/erickrl6-dot.png</url><title>R packages by erickrl6-dot</title><link>https://erickrl6-dot.r-universe.dev</link></image><lastBuildDate>Wed, 29 Jul 2026 16:40:03 GMT</lastBuildDate><item><title>[erickrl6-dot] mhtopt 1.0.0</title><author>erosaslpez@ucsd.edu (Erick Rosas Lopez)</author><description>Implements the optimal multiple hypothesis testing
correction from Viviano, Wuthrich, and Niehaus (2026)
&lt;doi:10.48550/arXiv.2104.13367&gt;. 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.</description><link>https://github.com/r-universe/erickrl6-dot/actions/runs/36392116185</link><pubDate>Wed, 29 Jul 2026 16:40:03 GMT</pubDate><r:package>mhtopt</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://erickrl6-dot.r-universe.dev</r:repository><r:upstream>https://github.com/cran/mhtopt</r:upstream><r:article><r:source>mhtopt.Rmd</r:source><r:filename>mhtopt.html</r:filename><r:title>Optimal Multiple Hypothesis Testing</r:title><r:created>2026-07-29 16:40:03</r:created><r:modified>2026-07-29 16:40:03</r:modified></r:article></item></channel></rss>