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

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

## Documentation for package ‘causalCmprsk’ version 2.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

causalCmprsk | Estimation of Average Treatment Effects (ATE) of Point Intervention on Time-to-Event Outcomes with Competing Risks
fit.cox | Cox-based estimation of ATE corresponding to the target population
fit.nonpar | Nonparametric estimation of ATE corresponding to the target population
get.numAtRisk | Number-at-risk in raw and weighted data
get.pointEst | Returns point estimates and 'conf.level'% confidence intervals corresponding to a specific time point
get.weights | Fitting a logistic regression model for propensity scores and estimating weights
summary.cmprsk | Summary of Event-specific Cumulative Hazards, Cumulative Incidence Functions and Various Treatment Effects