Compute TMLE on the ATE parameter
Compute TMLE on the ATE parameter
new()
ateTMLE$new(data, verbose = FALSE)
initial_fit()
ateTMLE$initial_fit( lambda1 = NULL, lambda2 = NULL, M1 = NULL, M2 = NULL, family_y, ... )
initial_fit_pen_likeli()
ateTMLE$initial_fit_pen_likeli( lambda1 = NULL, lambda2 = NULL, family_y, lambda_min_ratio = NULL, ... )
plot_Q1W()
ateTMLE$plot_Q1W(foo = NULL)
target()
ateTMLE$target()
compute_EIC()
ateTMLE$compute_EIC(A, gk, Y, Qk, Q1k, Q0k, psi)
inference_without_target()
ateTMLE$inference_without_target( data, Q_fit = NULL, g_fit = NULL, to_return = TRUE )
compute_min_phi_ratio()
ateTMLE$compute_min_phi_ratio()
clone()
The objects of this class are cloneable with this method.
ateTMLE$clone(deep = FALSE)
deep
Whether to make a deep clone.