ateTMLE: Compute TMLE on the ATE parameter

In wilsoncai1992/TMLEbootstrap: Bootstrap Confidence Intervals for Targeted Maximum Likelihood Estimators

Description

Compute TMLE on the ATE parameter

Compute TMLE on the ATE parameter

Methods

Public methods

• ateTMLE$new()

• ateTMLE$initial_fit()

• ateTMLE$initial_fit_pen_likeli()

• ateTMLE$plot_Q1W()

• ateTMLE$target()

• ateTMLE$compute_EIC()

• ateTMLE$inference_without_target()

• ateTMLE$compute_min_phi_ratio()

• ateTMLE$clone()

---

Method new()

Usage

ateTMLE$new(data, verbose = FALSE)

---

Method initial_fit()

Usage

ateTMLE$initial_fit(
  lambda1 = NULL,
  lambda2 = NULL,
  M1 = NULL,
  M2 = NULL,
  family_y,
  ...
)

---

Method initial_fit_pen_likeli()

Usage

ateTMLE$initial_fit_pen_likeli(
  lambda1 = NULL,
  lambda2 = NULL,
  family_y,
  lambda_min_ratio = NULL,
  ...
)

---

Method plot_Q1W()

Usage

ateTMLE$plot_Q1W(foo = NULL)

---

Method target()

Usage

ateTMLE$target()

---

Method compute_EIC()

Usage

ateTMLE$compute_EIC(A, gk, Y, Qk, Q1k, Q0k, psi)

---

Method inference_without_target()

Usage

ateTMLE$inference_without_target(
  data,
  Q_fit = NULL,
  g_fit = NULL,
  to_return = TRUE
)

---

Method compute_min_phi_ratio()

Usage

ateTMLE$compute_min_phi_ratio()

---

Method clone()

The objects of this class are cloneable with this method.

Usage

ateTMLE$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

wilsoncai1992/TMLEbootstrap documentation built on Feb. 27, 2021, 7:57 a.m.