rmse: Calculate Root Mean Squared Error (RMSE)

In flexCountReg: Estimation of a Variety of Count Regression Models

Calculate Root Mean Squared Error (RMSE)

Description

This function calculates the Root Mean Squared Error (RMSE) between observed and predicted values.

Usage

rmse(y, mu)

Arguments

y	Numeric vector representing the observed values.
mu	Numeric vector representing the predicted values.

Details

The RMSE is calculated using the formula:

RMSE = \sqrt{\frac{1}{n} \sum_{i=1}^{n} (y_i - \mu_i)^2}

Where y is the vector of observed values and \mu is the vector of predicted values.

Value

Numeric value representing the RMSE.

Examples

y <- c(1, 2, 3)
mu <- c(1.1, 1.9, 3.2)
rmse(y, mu)

flexCountReg documentation built on Jan. 20, 2026, 1:06 a.m.