Package: causalCmprsk
Type: Package
Title: Nonparametric and Cox-Based Estimation of Average Treatment
        Effects in Competing Risks
Version: 2.0.0
Authors@R: c(person("Bella", "Vakulenko-Lagun", email ="blagun@stat.haifa.ac.il", role = c("aut", "cre")),
    person("Colin", "Magdamo", role = c("aut")),
    person("Marie-Laure", "Charpignon", role = c("aut")),
    person("Bang", "Zheng", role = c("aut")),
    person("Mark", "Albers", role = c("aut")),
    person("Sudeshna", "Das", role = c("aut")))
Description: Estimation of average treatment effects (ATE) of point
        interventions on time-to-event outcomes with K competing risks
        (K can be 1). The method uses propensity scores and inverse
        probability weighting for emulation of baseline randomization,
        which is described in Charpignon et al. (2022)
        <doi:10.1038/s41467-022-35157-w>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: survival, inline, doParallel, parallel, utils, foreach,
        data.table, purrr, methods
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown, bookdown, tidyverse, ggalt, cobalt, ggsci,
        modEvA, naniar, DT, Hmisc, hrbrthemes, summarytools
VignetteBuilder: knitr
URL: https://github.com/Bella2001/causalCmprsk
BugReports: https://github.com/Bella2001/causalCmprsk/issues
Repository: https://bella2001.r-universe.dev
Date/Publication: 2023-07-04 14:35:05 UTC
RemoteUrl: https://github.com/bella2001/causalcmprsk
RemoteRef: HEAD
RemoteSha: af47e890267917ed3a4649254b287da4caf615fa
NeedsCompilation: no
Packaged: 2026-10-10 13:01:14 UTC; root
Author: Bella Vakulenko-Lagun [aut, cre],
  Colin Magdamo [aut],
  Marie-Laure Charpignon [aut],
  Bang Zheng [aut],
  Mark Albers [aut],
  Sudeshna Das [aut]
Maintainer: Bella Vakulenko-Lagun <blagun@stat.haifa.ac.il>