Laksafoss/ICPSurv: Invariant Causal Prediction for Survival Data

Methods for estimation of causal predictors and identification of invariant models for a target variable. Using heterogeneous data from different (possibly unknown) environments the methods identify invariant models and use these to make causal inference. The methods are suited for target variables that may be described by a linear, generalized linear or hazard model.

install.packages("remotes")
remotes::install_github("Laksafoss/ICPSurv")