Generating some data to run examples | Controlling verbosity | Specifying the estimand | Built-in estimands - average treatment effect and rate ratio | Specifying any estimand | Variance estimation using cross validation | Prognostic covariate adjustment | Specifying learners | Default learners | Creating own list of learners | Inspecting the prognostic model

Plug-in estimation of marginal effects and variance estimation using influence functions | Simulating data for exploratory analyses | Fitting rctglm() without prognostic covariate adjustment | Using prognostic covariate adjustment | Investigating the prognostic model | Prospective power approximation | For marginal effects | For linear models | Creating a plot of prospective power curves | Using repeat_power_marginaleffect() and plotting the results

Estimating the power for marginal effects | Simulating some data | Controlling assumptions