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cff-version: 1.2.0
message: 'To cite package "multigrain" in publications use:'
type: software
license: LGPL-3.0-or-later
title: 'multigrain: Optimise Graphical Approaches to Multiple Testing Procedures'
version: 1.0.0
doi: 10.32614/CRAN.package.multigrain
abstract: 'Find the optimal graphical multiple testing procedure for confirmatory
  clinical trials that test several hypotheses across endpoints, doses, or subpopulations.
  Choose the graph maximising an explicit gain-function: a user-defined measure of
  trial success that scores each possible set of rejected hypotheses. Given simulated
  p-values, search over hypothesis weights and transition weights to maximise expected
  trial success. Conventional power criteria are recovered and the family-wise error
  rate is strongly controlled due to the search being confined to graphical procedures.
  Described in Spiers, Grayling, Wheeler, and Mander (2026) "Gain-function optimisation
  of graphical multiple testing procedures for confirmatory clinical trials" <https://doi.org/10.48550/arXiv.2609.19994>.'
authors:
- family-names: Spiers
  given-names: Alex
  email: alex.d.spiers@gsk.com
  orcid: https://orcid.org/0000-0002-8874-085X
- family-names: Moldovan-Grünfeld
  given-names: Dragoș
  email: dragos.v.moldovan-grunfeld@gsk.com
repository: https://dragosmg.r-universe.dev
repository-code: https://github.com/GSK-Biostatistics/multigrain
commit: 7884824865c9324b29883320d360d71d14a8781a
url: https://gsk-biostatistics.github.io/multigrain/
date-released: '2026-10-08'
contact:
- family-names: Spiers
  given-names: Alex
  email: alex.d.spiers@gsk.com
  orcid: https://orcid.org/0000-0002-8874-085X