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LAGOtrials: Learn-as-You-Go Adaptive Trial Optimization

Optimizes interventions for adaptive "Learn-As-you-GO" (LAGO) trials, in which the intervention package is updated between stages using accumulating data. Given data from completed stages, lago_optimization() fits the outcome model (via 'stats' generalized linear models or, for clustered designs, cluster-robust variance) and computes the cost-optimal recommended intervention for the next stage that is expected to reach a target mean outcome and/or a desired statistical power. get_confidence_set() constructs confidence sets for the optimal intervention, and visualize_cost() and lago_report() summarize the cost surface and results. Methods are described in Nevo, Lok and Spiegelman (2021) <doi:10.1214/20-aos1978> and Bing, Spiegelman, Nevo and Lok (2025) <doi:10.1093/biomtc/ujaf061>.

Version: 1.1.0
Depends: R (≥ 2.10)
Imports: rje, NlcOptim, cli, bslib, shiny, ggplot2, shinyjs, Rcpp
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), tibble, knitr, rmarkdown, jsonlite, spelling
Published: 2026-10-24
DOI: 10.32614/CRAN.package.LAGOtrials (may not be active yet)
Author: Ante Bing [aut, cre], Minh Bui [aut], Jingyu Cui [aut], Mike Bostock [cph] (Author of the bundled D3 v7 library, inst/js/d3.v7.min.js)
Maintainer: Ante Bing <abing at bu.edu>
BugReports: https://github.com/correspondMerchant/LAGO-R-Package/issues
License: GPL-3
Copyright: This package bundles the D3 v7 library (inst/js/d3.v7.min.js), which is ISC-licensed and Copyright 2010-2023 Mike Bostock. See inst/COPYRIGHTS and inst/js/d3-LICENSE. All other code is Copyright the LAGO authors under GPL-3.
LAGOtrials copyright details
URL: https://correspondmerchant.github.io/LAGO-R-Package/, https://github.com/correspondMerchant/LAGO-R-Package
NeedsCompilation: yes
Language: en-US
Materials: README, NEWS
CRAN checks: LAGOtrials results

Documentation:

Reference manual: LAGOtrials.html , LAGOtrials.pdf
Vignettes: Optimizing an intervention with LAGO (source, R code)

Downloads:

Package source: LAGOtrials_1.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LAGOtrials to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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