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>.
| Version: | 2.0.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | survival, inline, doParallel, parallel, utils, foreach, data.table, purrr, methods |
| Suggests: | knitr, rmarkdown, bookdown, tidyverse, ggalt, cobalt, ggsci, modEvA, naniar, DT, Hmisc, hrbrthemes, summarytools |
| Published: | 2023-07-04 |
| DOI: | 10.32614/CRAN.package.causalCmprsk |
| 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 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 average treatment effects in competing risks using 'causalCmprsk' package |
| Package source: | causalCmprsk_2.0.0.tar.gz |
| Windows binaries: | r-devel: causalCmprsk_2.0.0.zip, r-release: causalCmprsk_2.0.0.zip, r-oldrel: causalCmprsk_2.0.0.zip |
| macOS binaries: | r-devel (arm64): causalCmprsk_2.0.0.tgz, r-release (arm64): causalCmprsk_2.0.0.tgz, r-oldrel (arm64): causalCmprsk_2.0.0.tgz, r-devel (x86_64): causalCmprsk_2.0.0.tgz, r-release (x86_64): causalCmprsk_2.0.0.tgz, r-oldrel (x86_64): causalCmprsk_2.0.0.tgz |
| Old sources: | causalCmprsk archive |
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