validate_distance_inputs: Validate distance weighting inputs

In pintervals: Model Agnostic Prediction Intervals

Validate distance weighting inputs

Description

Internal helper to validate distance-related arguments used across conformal, bootstrap, mondrian, ccp, and bccp functions.

Usage

validate_distance_inputs(
  distance_features_calib,
  distance_features_pred,
  calib_length,
  pred_length,
  fn_name = "pinterval"
)

Arguments

distance_features_calib	Features for calibration set
distance_features_pred	Features for prediction set
calib_length	Expected number of calibration observations
pred_length	Expected number of prediction observations
fn_name	Name of the calling function, used in error messages

Value

NULL (called for side effects: stops on invalid input)

pintervals documentation built on March 3, 2026, 5:06 p.m.