Package: doseSens
Title: Conduct Sensitivity Analysis with Continuous Exposures and
        Binary or Continuous Outcomes
Version: 1.0.0
Authors@R: 
    person("Jeffrey", "Zhang", email = "jeffreyzhang1226@gmail.com", role = c("aut", "cre"))
Description: Performs sensitivity analysis for the sharp null,
        attributable effects, and weak nulls in matched studies with
        continuous exposures and binary or continuous outcomes as
        described in Zhang, Small, Heng (2024)
        <doi:10.48550/arXiv.2401.06909> and Zhang, Heng (2024)
        <doi:10.48550/arXiv.2409.12848>. Two of the functions require
        installation of the 'Gurobi' optimizer. Please see
        <https://docs.gurobi.com/current/#refman/ins_the_r_package.html>
        for guidance.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1
LazyData: true
Imports: dplyr, gtools, stats, utils, nloptr, lpSolve
Suggests: gurobi
Depends: R (>= 4.1.0)
Config/pak/sysreqs: cmake
Repository: https://jzhang1937.r-universe.dev
Date/Publication: 2025-10-11 19:42:31 UTC
RemoteUrl: https://github.com/jzhang1937/dosesens
RemoteRef: HEAD
RemoteSha: 5fb6dea1a5f6cc997fc80fca518de0a1370535d5
NeedsCompilation: no
Packaged: 2026-10-08 08:12:29 UTC; root
Author: Jeffrey Zhang [aut, cre]
Maintainer: Jeffrey Zhang <jeffreyzhang1226@gmail.com>