Package: causalCmprsk
Type: Package
Title: Nonparametric and Cox-Based Estimation of ATE in Competing Risks
Version: 1.0.0
Author: Bella Vakulenko-Lagun, Colin Magdamo, Marie-Laure Charpignon, Bang Zheng, Mark W Albers, Sudeshna Das
Maintainer: Bella Vakulenko-Lagun <blagun@stat.haifa.ac.il>
Description: Estimation of average treatment effects (ATE) of two static treatment regimes on time-to-event outcomes with K competing events (K can be 1). The method uses propensity scores weighting for emulation of baseline randomization. 
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports: survival, inline, doParallel, parallel, utils, foreach,
        data.table, purrr
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, bookdown, tidyverse, ggalt, cobalt, ggsci,
        modEvA, naniar, DT, Hmisc, hrbrthemes, summarytools, kableExtra
VignetteBuilder: knitr
URL: https://github.com/Bella2001/causalCmprsk
BugReports: https://github.com/Bella2001/causalCmprsk/issues
NeedsCompilation: no
Packaged: 2020-11-03 07:22:12 UTC; user
Repository: CRAN
Date/Publication: 2020-11-03 09:00:02 UTC
