me_vec: Calculate the mean error

In tscv: Functions and Utilities for Tidy Time Series Forecasting and Time Series Cross-Validation

Calculate the mean error

Description

Calculate the mean error of a numeric vector.

Usage

me_vec(truth, estimate, na_rm = TRUE)

Arguments

truth	Numeric vector containing the actual values.
estimate	Numeric vector containing the forecasts.
na_rm	Logical value. If TRUE, missing values are removed.

Details

me_vec() computes the average signed forecast error truth - estimate. Positive values indicate that forecasts are, on average, below the observed values. Negative values indicate that forecasts are, on average, above the observed values.

The metric is reported in the same units as the original data.

Value

A numeric value.

See Also

Other accuracy functions: mae_vec(), make_accuracy(), make_errors(), mape_vec(), mpe_vec(), mse_vec(), rmse_vec(), smape_vec()

Examples

truth <- c(10, 20, 30)
estimate <- c(8, 22, 25)

me_vec(truth, estimate)

truth_na <- c(10, 20, NA)
estimate_na <- c(8, 22, 25)
me_vec(truth_na, estimate_na)

tscv documentation built on May 13, 2026, 9:07 a.m.