summary.BMEmapping: Summary Method for BME Cross-Validation Results

In BMEmapping: Spatial Interpolation using Bayesian Maximum Entropy (BME)

Summary Method for BME Cross-Validation Results

Description

Provides a concise summary of LOOCV performance for BME predictions at hard data locations. Computes standard residual-based accuracy metrics, including Mean Error (ME), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE).

Usage

## S3 method for class 'BMEmapping'
summary(object, ...)

Arguments

object	An object of class "bme_cv", typically returned by a BME cross-validation function. Must contain a numeric vector named residual.
...	Additional arguments passed to summary().

Value

A data frame containing three columns:

ME

Mean Error (average residual).

MAE

Mean Absolute Error.

RMSE

Root Mean Squared Error.

BMEmapping documentation built on Aug. 21, 2025, 5:55 p.m.