blipVarianceBootstrapContinuousY: Bootstrap confidence intervals for the blip variance...

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

Description

Output both the point estimate and the bootstrap confidence interval

Super classes

TMLEbootstrap::generalBootstrap -> TMLEbootstrap::blipVarianceBootstrap -> blipVarianceBootstrapContinuousY

Methods

Public methods

• blipVarianceBootstrapContinuousY$new()

• blipVarianceBootstrapContinuousY$bootstrap_once()

• blipVarianceBootstrapContinuousY$run_bootstrap()

• blipVarianceBootstrapContinuousY$clone()

Inherited methods

• TMLEbootstrap::generalBootstrap$all_boot_CI()

• TMLEbootstrap::generalBootstrap$bootstrap()

• TMLEbootstrap::generalBootstrap$center_CI()

• TMLEbootstrap::generalBootstrap$exact_bootstrap()

• TMLEbootstrap::generalBootstrap$exact_bootstrap_paper()

• TMLEbootstrap::generalBootstrap$penalized_CI()

• TMLEbootstrap::generalBootstrap$penalized_CI_half()

• TMLEbootstrap::generalBootstrap$scale_adjust_CI()

• TMLEbootstrap::generalBootstrap$shift2()

• TMLEbootstrap::generalBootstrap$sigma_mse()

• TMLEbootstrap::generalBootstrap$spread()

---

Method new()

Usage

blipVarianceBootstrapContinuousY$new(
  data,
  lambda1 = NULL,
  lambda2 = NULL,
  M1 = NULL,
  M2 = NULL,
  verbose = NULL,
  targeting = TRUE
)

---

Method bootstrap_once()

Usage

blipVarianceBootstrapContinuousY$bootstrap_once(self, data, population_tmle)

---

Method run_bootstrap()

Usage

blipVarianceBootstrapContinuousY$run_bootstrap(
  n_bootstrap = 200,
  alpha = 0.05,
  kind = NULL
)

---

Method clone()

The objects of this class are cloneable with this method.

Usage

blipVarianceBootstrapContinuousY$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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