mean_squared_error: Mean squared error

In EQRN: Extreme Quantile Regression Neural Networks for Risk Forecasting

Mean squared error

Description

Mean squared error

Usage

mean_squared_error(
  y,
  y_hat,
  return_agg = c("mean", "sum", "vector"),
  na.rm = FALSE
)

Arguments

y	Vector of observations or ground-truths.
y_hat	Vector of predictions.
return_agg	Whether to return the "mean" (default), "sum", or "vector" of errors.
na.rm	A logical value indicating whether NA values should be stripped before the computation proceeds.

Value

The mean (or total or vectorial) squared error between y and y_hat.

Examples

mean_squared_error(c(2.3, 4.2, 1.8), c(2.2, 4.6, 1.7))

EQRN documentation built on April 4, 2025, 12:45 a.m.