Compute regression metrics for SWRC predictions

Returns R², RMSE, and MAE between observed and predicted volumetric water content (or any continuous response).

Usage

swrc_metrics(observed, predicted, na.rm = TRUE)

Arguments

observed

Numeric vector of observed values.

predicted

Numeric vector of predicted values (same length).

na.rm

Logical; remove NA pairs before computing (default TRUE).

Value

A tibble::tibble() with one row and columns R2, RMSE, MAE, n (number of non-missing pairs).

Examples

obs  <- c(0.30, 0.25, 0.20, 0.15, 0.10)
pred <- c(0.28, 0.26, 0.22, 0.14, 0.11)
swrc_metrics(obs, pred)
#> # A tibble: 1 × 4
#>      R2   RMSE    MAE     n
#>   <dbl>  <dbl>  <dbl> <int>
#> 1 0.956 0.0148 0.0140     5