Package: adace
Title: Estimator of the Adherer Average Causal Effect
Version: 1.0.2
Authors@R: c(
  person(
    given = "Jiaxun",
    family = "Chen",
    role = "aut"
        ),
  person(
    given = "Rui",
    family = "Jin",
    role = "aut"
       ),
  person(
    given = "Yongming",
    family = "Qu",
    role = "aut"
        ),
  person(
    given = "Run",
    family = "Zhuang",
    role = c("aut", "cre"),
    email = "capecod0321@gmail.com"
        ),
  person(
    given = "Ying",
    family = "Zhang",
    role = "aut"
        ),
  person(
    family = "Eli Lilly and Company",
    role = "cph"
        )) 
Imports: reshape2, pracma
Description: Estimate the causal treatment effect for subjects that can
        adhere to one or both of the treatments. Given longitudinal
        data with missing observations, consistent causal effects are
        calculated. Unobserved potential outcomes are estimated through
        direct integration as described in: Qu et al., (2019)
        <doi:10.1080/19466315.2019.1700157> and Zhang et. al., (2021)
        <doi:10.1080/19466315.2021.1891965>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.2.3
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0), cubature (>= 2.0.4), MASS (>= 7.3-55)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-10-20 07:56:33 UTC; root
Author: Jiaxun Chen [aut], Rui Jin [aut], Yongming Qu [aut], Run Zhuang
        [aut, cre], Ying Zhang [aut], Eli Lilly and Company [cph]
Maintainer: Run Zhuang <capecod0321@gmail.com>
Config/pak/sysreqs: libicu-dev
Repository: https://zhuangr.r-universe.dev
Date/Publication: 2023-08-28 13:30:39 UTC
RemoteUrl: https://github.com/cran/adace
RemoteRef: HEAD
RemoteSha: 9607f71848e7db218de244ad2fd6f2876999a761