dot-getDensity: Function to estimate density needed to evaluate standard...

In benkeser/predtmle: Small sample estimators of cross-validated prediction metrics

Description

Function to estimate density needed to evaluate standard errors.

Usage

.getDensity(x, c0, bounded_kernel = FALSE, x_name = "train_pred",
  y_name = "train_y", nested_cv = FALSE, prediction_list = NULL,
  folds = NULL, maxDens = 1000, ...)

Arguments

x	An entry in prediction_list.
c0	The point at which the density estimate is evaluated.
bounded_kernel	Should a bounded kernel be used? Default is FALSE.
x_name	Name of variable to compute density of.
y_name	Name of variable to stratify density computation on.
nested_cv	Use nested CV to estimate density?
prediction_list	Properly formatted list of predictions.
folds	Cross-validation fold assignments.
maxDens	The maximum allowed value for the density.
...	Other options (not currently used)

benkeser/predtmle documentation built on May 20, 2019, 5:41 p.m.