This function calculates the Root Mean Squared Error (RMSE) between observed
and predicted values.
Arguments
- y
Numeric vector representing the observed values.
- mu
Numeric vector representing the predicted values.
Value
Numeric value representing the RMSE.
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.
Examples
y <- c(1, 2, 3)
mu <- c(1.1, 1.9, 3.2)
rmse(y, mu)
#> [1] 0.1414214
