Package: precmed
Type: Package
Title: Precision Medicine
Version: 1.1.0.9000
Authors@R: c(person(given = "Lu", 
                    family = "Tian", 
                    email = "lutian@stanford.edu",
                    role = "aut",
                    comment=c(ORCID = "0000-0002-5893-0169")),
            person(given = "Xiaotong",  
                   family = "Jiang",
                   email = "xiaotong.phoebe.jiang@gmail.com",
                   role = "aut",
                   comment=c(ORCID = "0000-0003-3698-4526")),
            person(given = "Gabrielle", 
                   family = "Simoneau",
                   email = "gabrielle.simoneau@mail.mcgill.ca",
                   role = "aut", 
                   comment=c(ORCID = "0000-0001-9310-6274")),
            person("Biogen  MA  Inc.", role="cph"),
            person(given = "Thomas", 
                   family = "Debray", 
                   role = c("ctb", "cre"), 
                   email = "tdebray@fromdatatowisdom.com",
                   comment= c(ORCID = "0000-0002-1790-2719")),
            person(given = "Stan", 
                   family = "Wijn", 
                   role = "ctb",
                   comment=c(ORCID = "0000-0003-3782-6677")),
            person(given = "Joana", 
                   family = "Caldas", 
                   role = "ctb"))
Description: A doubly robust precision medicine approach to fit,
        cross-validate and visualize prediction models for the
        conditional average treatment effect (CATE). It implements
        doubly robust estimation and semiparametric modeling approach
        of treatment-covariate interactions as proposed by Yadlowsky et
        al. (2020) <doi:10.1080/01621459.2020.1772080>.
Depends: R (>= 3.5.0)
License: Apache License (== 2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Imports: dplyr, gbm, gam, ggplot2, glmnet, graphics, MASS, mgcv, rlang,
        stringr, tidyr, survival, randomForestSRC
NeedsCompilation: no
BugReports: https://github.com/smartdata-analysis-and-statistics/precmed/issues
URL: https://github.com/smartdata-analysis-and-statistics/precmed,
        https://smartdata-analysis-and-statistics.github.io/precmed/
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libx11-dev
Repository: https://smartdata-analysis-and-statistics.r-universe.dev
Date/Publication: 2025-07-03 13:42:06 UTC
RemoteUrl: https://github.com/smartdata-analysis-and-statistics/precmed
RemoteRef: HEAD
RemoteSha: d13cd47476cf30cf65725b72982904a8cba66173
Packaged: 2026-06-20 06:36:24 UTC; root
Author: Lu Tian [aut] (ORCID: <https://orcid.org/0000-0002-5893-0169>),
  Xiaotong Jiang [aut] (ORCID: <https://orcid.org/0000-0003-3698-4526>),
  Gabrielle Simoneau [aut] (ORCID:
    <https://orcid.org/0000-0001-9310-6274>),
  Biogen MA Inc. [cph],
  Thomas Debray [ctb, cre] (ORCID:
    <https://orcid.org/0000-0002-1790-2719>),
  Stan Wijn [ctb] (ORCID: <https://orcid.org/0000-0003-3782-6677>),
  Joana Caldas [ctb]
Maintainer: Thomas Debray <tdebray@fromdatatowisdom.com>