Function to estimate density needed to evaluate standard errors.

Function to estimate density needed to evaluate standard errors.

.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)