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causalCmprsk  

Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks
View on CRAN: Click here


Download and install causalCmprsk package within the R console
Install from CRAN:
install.packages("causalCmprsk")

Install from Github:
library("remotes")
install_github("cran/causalCmprsk")

Install by package version:
library("remotes")
install_version("causalCmprsk", "2.0.0")



Attach the package and use:
library("causalCmprsk")
Maintained by
Bella Vakulenko-Lagun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-03
Latest Update: 2023-07-04
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) .
How to cite:
Bella Vakulenko-Lagun (2020). causalCmprsk: Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks. R package version 2.0.0, https://cran.r-project.org/web/packages/causalCmprsk. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2020-11-03 10:00), 1.0.1 (2021-01-05 02:20), 1.0.2 (2021-08-09 09:40), 1.0.3 (2021-08-09 16:50), 1.1.0 (2023-03-31 14:00)
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Other R packages that causalCmprsk depends, imports, suggests or enhances
Complete documentation for causalCmprsk
Functions, R codes and Examples using the causalCmprsk R package
Some associated functions: causalCmprsk . fit.cox . fit.nonpar . get.numAtRisk . get.pointEst . get.weights . summary.cmprsk . 
Some associated R codes: causalCmprsk-functions.R . causalCmprsk.R .  Full causalCmprsk package functions and examples
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