https://yamagubed.r-universe.devRecent package updates in yamagubedR-universehttps://github.com/yamagubed.pnghttps://yamagubed.r-universe.devFri, 09 Oct 2026 16:53:10 GMTyamagubed@gmail.com (Yusuke Yamaguchi)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.https://github.com/r-universe/yamagubed/actions/runs/37992482497Fri, 09 Oct 2026 16:53:10 GMTfdb0.2.2successhttps://yamagubed.r-universe.devhttps://github.com/yamagubed/fdbfdb-intro.Rmdfdb-intro.htmlGetting started with fdb2026-05-12 14:52:282026-09-28 20:22:02