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.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.6) |
| Imports: | survival, inline, doParallel, parallel, utils, foreach, data.table, purrr |
| Suggests: | knitr, rmarkdown, bookdown, tidyverse, ggalt, cobalt, ggsci, modEvA, naniar, DT, Hmisc, hrbrthemes, summarytools, kableExtra |
| Published: | 2021-01-05 |
| Author: | Bella Vakulenko-Lagun, Colin Magdamo, Marie-Laure Charpignon, Bang Zheng, Mark Albers, Sudeshna Das |
| Maintainer: | Bella Vakulenko-Lagun <blagun at stat.haifa.ac.il> |
| BugReports: | https://github.com/Bella2001/causalCmprsk/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/Bella2001/causalCmprsk |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | causalCmprsk results |
| Reference manual: | causalCmprsk.pdf |
| Vignettes: |
Nonparametric and Cox-based estimation of ATE in competing risks |
| Package source: | causalCmprsk_1.0.1.tar.gz |
| Windows binaries: | r-devel: causalCmprsk_1.0.1.zip, r-release: causalCmprsk_1.0.1.zip, r-oldrel: causalCmprsk_1.0.1.zip |
| macOS binaries: | r-release: causalCmprsk_1.0.1.tgz, r-oldrel: causalCmprsk_1.0.1.tgz |
| Old sources: | causalCmprsk archive |
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