avgDensityTMLE: onestep TMLE of average density parameter

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

Description

onestep TMLE of average density parameter

onestep TMLE of average density parameter

Format

R6Class object.

Value

Object of R6Class with methods

Methods

new(x, epsilon_step = NULL, verbose = NULL)

specify data; define targeting step size

fit_density(bin_width = .1, lambda_grid)

use 'cvDensityHAL' to fit density. bin_width for pre-binning of continuous x; lambda_grid for grid search of lambda in HAL

Public fields

x

random sample from distribution

p_hat

(empiricalDensity) containing density estimates

Psi

paramter value

EIC

vector of EIC

epsilon_step

step size for one-step targeting

CI

(numeric vector) length 2; lower + upper CI

longDataOut

(longiData) for transforming x into longitudinal format dataframe

HAL_tuned

(hal9001) generated by cvDensityHAL class.

Methods

Public methods

• avgDensityTMLE$new()

• avgDensityTMLE$fit_density()

• avgDensityTMLE$fit_density_pen_likeli()

• avgDensityTMLE$compute_Psi()

• avgDensityTMLE$compute_EIC()

• avgDensityTMLE$update_once()

• avgDensityTMLE$target_iterative()

• avgDensityTMLE$target_onestep()

• avgDensityTMLE$inference()

• avgDensityTMLE$compute_min_phi_ratio()

• avgDensityTMLE$clone()

---

Method new()

Usage

avgDensityTMLE$new(x, epsilon_step = NULL, verbose = NULL, max_iter = 100)

---

Method fit_density()

Usage

avgDensityTMLE$fit_density(
  bin_width = 0.1,
  lambda_grid = NULL,
  M = NULL,
  n_fold = 3,
  ...
)

---

Method fit_density_pen_likeli()

Usage

avgDensityTMLE$fit_density_pen_likeli(
  bin_width = 0.1,
  lambda_grid = NULL,
  lambda_min_ratio = NULL,
  n_fold = 3,
  ...
)

---

Method compute_Psi()

Usage

avgDensityTMLE$compute_Psi(p_hat, to_return = FALSE)

---

Method compute_EIC()

Usage

avgDensityTMLE$compute_EIC(p_hat, Psi, to_return = FALSE)

---

Method update_once()

Usage

avgDensityTMLE$update_once()

---

Method target_iterative()

Usage

avgDensityTMLE$target_iterative(verbose = FALSE)

---

Method target_onestep()

Usage

avgDensityTMLE$target_onestep(verbose = FALSE)

---

Method inference()

Usage

avgDensityTMLE$inference()

---

Method compute_min_phi_ratio()

Usage

avgDensityTMLE$compute_min_phi_ratio()

---

Method clone()

The objects of this class are cloneable with this method.

Usage

avgDensityTMLE$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# avgDensityTMLE$new()

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