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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>.

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VersionRepositoryFileSize
2.0.0 rolling linux/jammy R-4.5 causalCmprsk_2.0.0.tar.gz 392.3 KiB
2.0.0 rolling linux/noble R-4.5 causalCmprsk_2.0.0.tar.gz 392.2 KiB
2.0.0 rolling source/ R- causalCmprsk_2.0.0.tar.gz 289.1 KiB
2.0.0 latest linux/jammy R-4.5 causalCmprsk_2.0.0.tar.gz 392.3 KiB
2.0.0 latest linux/noble R-4.5 causalCmprsk_2.0.0.tar.gz 392.2 KiB
2.0.0 latest source/ R- causalCmprsk_2.0.0.tar.gz 289.1 KiB
2.0.0 2026-04-26 source/ R- causalCmprsk_2.0.0.tar.gz 289.1 KiB
2.0.0 2026-04-23 source/ R- causalCmprsk_2.0.0.tar.gz 289.1 KiB
2.0.0 2026-04-09 windows/windows R-4.5 causalCmprsk_2.0.0.zip 391.5 KiB
2.0.0 2025-04-20 source/ R- causalCmprsk_2.0.0.tar.gz 289.1 KiB

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