A user friendly, easy to understand way of doing event history regression for marginal estimands of interest, including the cumulative incidence and the restricted mean survival, using the pseudo observation framework for estimation. The interface uses the well known formulation of a generalized linear model and allows for features including plotting of residuals, the use of sampling weights, and corrected variance estimation.
Sachs MC, Gabriel EE (2022). "Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R." Journal of Statistical Software, 102(9), 1-34. <doi:10.18637/jss.v102.i09>