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:

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