cvDensityHAL: Fit a 1-d density using HAL regression; automatic tuning of...

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

Description

perform binning first then run a HAL classifier

Methods

Public methods

• cvDensityHAL$new()

• cvDensityHAL$assign_fold()

• cvDensityHAL$cv()

• cvDensityHAL$cv_lambda_grid()

• cvDensityHAL$compute_model_full_data()

• cvDensityHAL$clone()

---

Method new()

Usage

cvDensityHAL$new(x, longiData)

---

Method assign_fold()

Usage

cvDensityHAL$assign_fold(n_fold = 3)

---

Method cv()

Usage

cvDensityHAL$cv(lambda = 2e-05, verbose = FALSE, ...)

---

Method cv_lambda_grid()

Usage

cvDensityHAL$cv_lambda_grid(lambda_grid = NULL, lambda_min_ratio = NULL, ...)

---

Method compute_model_full_data()

Usage

cvDensityHAL$compute_model_full_data(lambda)

---

Method clone()

The objects of this class are cloneable with this method.

Usage

cvDensityHAL$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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