Package: fdb
Type: Package
Title: Frequentist Dynamic Borrowing for Hybrid-Control Survival Trials
Version: 0.2.2
Authors@R: 
    person(given = "Yusuke",
           family = "Yamaguchi",
           role = c("aut", "cre"),
           email = "yamagubed@gmail.com")
Description: Implements a class of likelihood-informed frequentist
        dynamic borrowing methods for hybrid-control survival trials
        based on penalized Cox partial likelihood estimation.
        Implements four likelihood-informed penalty structures
        (precision-weighted L1, smoothed integrated-gate,
        information-adaptive minimax concave penalty (MCP), and
        likelihood-ratio-weighted L1), together with the adaptive lasso
        borrowing approach of Li et al. (2023,
        <doi:10.1002/bimj.202100406>). Provides conditional model-based
        standard errors and local plug-in sandwich variance
        approximations, with smoothed penalties. Tools for design-stage
        lambda calibration via simulation, including a two-stage
        coarse-fine grid search, drift-level early stopping, and
        per-method tuning under both inference types, are also
        provided. A simulation harness for evaluating type I error and
        statistical power across population drift scenarios is
        included.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: survival, stats, parallel, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/yamagubed/fdb
BugReports: https://github.com/yamagubed/fdb/issues
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0
RoxygenNote: 7.3.3
Repository: https://yamagubed.r-universe.dev
Date/Publication: 2026-10-09 16:53:10 UTC
RemoteUrl: https://github.com/yamagubed/fdb
RemoteRef: HEAD
RemoteSha: dbbb2acd9744b01192beaede971dc8c81dc8d916
NeedsCompilation: no
Packaged: 2026-10-09 21:19:36 UTC; root
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
