Package: fdb
Type: Package
Title: Frequentist Dynamic Borrowing for Hybrid-Control Survival Trials
Version: 0.2.0
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: 8.0.0
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-09-23 04:21:13 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-04 09:20:02 UTC
Built: R 4.6.1; ; 2026-10-04 11:32:54 UTC; unix
