MAVF_score computes the multi-attribute value score of x and y
given their respective weights
MAVF_score(x, y, x_wt, y_wt)
| x | Numeric vector of values |
|---|---|
| y | Numeric vector of values with compatible dimensions to |
| x_wt | Swing weight for |
| y_wt | Swing weight for |
A vector of the same length as x and y with the multi-attribute value scores
MAVF_sensitivity to perform sensitivity analysis with a range of x and y swing weights
SAVF_score for computing the exponential single attribute value score
# Given the following \code{x} and \code{y} attribute values with \code{x} and # \code{y} swing weight values of 0.65 and 0.35 respectively, we can compute # the multi-attribute utility score: x_attribute <- c(0.92, 0.79, 1.00, 0.39, 0.68, 0.55, 0.73, 0.76, 1.00, 0.74) y_attribute <- c(0.52, 0.19, 0.62, 1.00, 0.55, 0.52, 0.53, 0.46, 0.61, 0.84) MAVF_score(x_attribute, y_attribute, x_wt = .65, y_wt = .35)#> [1] 0.7800 0.5800 0.8670 0.6035 0.6345 0.5395 0.6600 0.6550 0.8635 0.7750