Package: forestsearch
Title: Exploratory Subgroup Identification in Survival and GLM Outcomes
Version: 0.4.0.9000
Authors@R: person("Larry", "Leon", , "larry.leon.05@post.harvard.edu", role = c("aut", "cre"))
Description: Implements statistical methods for exploratory subgroup
        identification in clinical trials. Provides tools for
        identifying patient subgroups with differential treatment
        effects using machine learning approaches including Generalized
        Random Forests (GRF), LASSO regularization, and exhaustive
        combinatorial search algorithms. Supports survival endpoints
        (Cox proportional hazards), binary outcomes (log odds ratio,
        log relative risk, risk difference), continuous outcomes (mean
        difference), and count / rate outcomes (log incidence rate
        ratio via Poisson, quasi-Poisson, or negative-binomial GLMs
        with optional person-time offset). Features bootstrap bias
        correction using infinitesimal jackknife methods to address
        selection bias in post-hoc analyses. Designed for clinical
        researchers conducting exploratory subgroup analyses in
        randomized controlled trials, particularly for multi-regional
        clinical trials (MRCT) requiring regional consistency
        evaluation. Methods are described in Leon et al. (2024)
        <doi:10.1002/sim.10163>. Post-selection inference for the
        identified subgroup follows León and Anderson (2026)
        <doi:10.48550/arXiv.2609.38361>. The search methodology is
        given in León and Anderson (2026)
        <doi:10.48550/arXiv.2610.28379>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr, quarto
SystemRequirements: Quarto command line tools
        (https://github.com/quarto-dev/quarto-cli)
Imports: data.table, doFuture, dplyr, foreach, future, future.apply,
        future.callr, ggplot2, glmnet (>= 5.0), grf, gt, Matrix,
        mvtnorm, parallel, patchwork, policytree, progressr,
        randomForest, rlang, stats, survival (>= 3.5-8), utils,
        weightedsurv (>= 0.1.0)
Suggests: DiagrammeR, doRNG, htmltools, MASS, sandwich, tidyr,
        forestploter (>= 1.2.0), cubature, svglite, knitr, rmarkdown,
        katex, latentcor, quarto, speff2trial, testthat (>= 3.0.0)
URL: https://github.com/larry-leon/forestsearch,
        https://larry-leon.github.io/forestsearch/
BugReports: https://github.com/larry-leon/forestsearch/issues
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.1
Config/pak/sysreqs: cmake make libuv1-dev libxml2-dev libssl-dev
        libnode-dev
Repository: https://larry-leon.r-universe.dev
Date/Publication: 2026-10-29 18:00:11 UTC
RemoteUrl: https://github.com/larry-leon/forestsearch
RemoteRef: HEAD
RemoteSha: 624bd457fbdf6136bb956b259e041558f2327577
NeedsCompilation: no
Packaged: 2026-10-29 22:17:07 UTC; root
Author: Larry Leon [aut, cre]
Maintainer: Larry Leon <larry.leon.05@post.harvard.edu>