Package: forestsearch
Title: Exploratory Subgroup Identification in Clinical Trials with
        Survival Endpoints
Version: 0.1.0
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 with survival endpoints. 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. 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. Supports both accelerated failure time (AFT) and Cox proportional
    hazards models with comprehensive diagnostic and visualization tools.
    Methods are described in León et al. (2024) <doi:10.1002/sim.10163>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Imports: data.table, doFuture, dplyr, foreach, future, future.apply,
        future.callr, ggplot2, glmnet, grf, gt, patchwork, policytree,
        progressr, randomForest, rlang, stringr, survival, weightedsurv
Suggests: DiagrammeR, doRNG, htmltools, tidyr, forestploter, cubature,
        svglite, knitr, rmarkdown, katex
URL: https://github.com/larry-leon/forestsearch,
        https://larry-leon.github.io/forestsearch/
BugReports: https://github.com/larry-leon/forestsearch/issues
NeedsCompilation: no
Packaged: 2026-03-19 04:27:29 UTC; larryleon
Author: Larry Leon [aut, cre]
Maintainer: Larry Leon <larry.leon.05@post.harvard.edu>
Repository: CRAN
Date/Publication: 2026-03-23 17:20:14 UTC
Built: R 4.6.0; ; 2026-03-28 04:20:08 UTC; unix
