https://jilechaoge.r-universe.devRecent package updates in jilechaogeR-universehttps://github.com/jilechaoge.pnghttps://jilechaoge.r-universe.devThu, 23 Apr 2026 22:05:07 GMTchogjill@126.com (Jile Chaoge)Implements the adaptive influence-based borrowing framework proposed by Qinwei Yang, Jingyi Li, Peng Wu, and Shu Yang (2026+) in the paper ``Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls" <doi:10.48550/arXiv.2604.13973> for augmenting Randomized Controlled Trials (RCTs) with External Control (EC) data. This package provides a comprehensive workflow to: (1) quantify the comparability of external control samples using influence scores approximated via the influence function of the M-estimator; (2) construct candidate borrowing subsets and select the optimal subset that minimizes the Mean Squared Error (MSE); and (3) calibrate systematic differences in external outcomes using R-learner methods implemented via Ordinary Least Squares or Kernel Ridge Regression.https://github.com/r-universe/jilechaoge/actions/runs/26356318905Thu, 23 Apr 2026 22:05:07 GMTInfluenceBorrowing0.1.0successhttps://jilechaoge.r-universe.devhttps://github.com/cran/InfluenceBorrowing