Causal Inference by using G-Computation // Several functions and S3 methods for G-computation and emulation of clinical trials. It allows for flexible estimation of the outcome model, especially penalized regressions (Lasso, Ridge, or Elasticnet) for binary, continuous, counting, or right-censored time-to- event outcomes. Average treatment effect among the entire population (ATE) or among the treated population (ATT) can be estimated. The method for time-to-events is described by Chatton et al. (2020) doi:10.1038/s41598-020-65917-x. For a binary outcome, details are available in the paper proposed by Chatton et al. (2022) doi:10.1177/09622802211047345.