Package: vbm
Type: Package
Title: Variance-Based Sensitivity Analysis for Weighting Estimators
Version: 0.1.0
Authors@R: c(
    person(
      "Jiayao", "Gan",
      email = "u3612852@connect.hku.hk",
      role = c("aut", "cre")
    ),
    person(
      "Melody", "Huang",
      email = "melody.huang@yale.edu",
      role = "aut"
    ),
    person(
      "Samuel D.","Pimentel",
      email = "spi@berkeley.edu",
      role = "aut"
    ),
    person(
      "Andy A.","Shen",
      email = "aashen@berkeley.edu",
      role = "aut"
    ),
    person(
      "National Science Foundation",
      role="fnd",
      comment="Grant #2142146"
    )
  )
Maintainer: Jiayao Gan <u3612852@connect.hku.hk>
Description: Provides methods for variance-based sensitivity analysis
        and weighting estimators in observational studies based on
        methodology by Huang & Pimentel (2025)
        <doi:10.1093/biomet/asae040>. Includes bootstrap inference,
        bias bounds estimation, and visualization tools for sensitivity
        parameters.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: parallel, magrittr, dplyr, WeightIt, estimatr, ggplot2, scales
URL: https://github.com/Staniks0/vbm
BugReports: https://github.com/Staniks0/vbm/issues
RoxygenNote: 7.3.3
Suggests: jointVIP, knitr, rmarkdown, pkgdown, cobalt, osqp
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-01 07:37:50 UTC; root
Author: Jiayao Gan [aut, cre], Melody Huang [aut], Samuel D. Pimentel
        [aut], Andy A. Shen [aut], National Science Foundation [fnd]
        (Grant #2142146)
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-30 20:30:02 UTC
RemoteUrl: https://github.com/cran/vbm
RemoteRef: HEAD
RemoteSha: 889ec8d00600b8e75dd67a42a207dae20f5a4433