The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

causalCmprsk: Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks

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
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

Documentation:

Reference manual: causalCmprsk.pdf
Vignettes: Nonparametric and Cox-based estimation of average treatment effects in competing risks using 'causalCmprsk' package

Downloads:

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-release (arm64): causalCmprsk_2.0.0.tgz, r-oldrel (arm64): 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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=causalCmprsk to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.