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

In benkeser/nlpred: Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples

Function to estimate density needed to evaluate standard errors.

Description

Function to estimate density needed to evaluate standard errors.

Usage

.get_density(
  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/nlpred documentation built on June 11, 2022, 3:05 a.m.