SAVF_preferred_rho {KraljicMatrix} | R Documentation |
Identify preferred rho
Description
SAVF_preferred_rho
computes the preferred rho that minimizes the
squared error between subject matter input desired values and exponentially
fitted scores
Usage
SAVF_preferred_rho(desired_x, desired_v, x_low, x_high, rho_low = 0,
rho_high = 1)
Arguments
desired_x |
Elicited input x value(s) |
desired_v |
Elicited value score related to elicited input value(s) |
x_low |
Lower bound anchor point (can be different than |
x_high |
Upper bound anchor point (can be different than |
rho_low |
Lower bound of the exponential constant search space for a best fit value function |
rho_high |
Upper bound of the exponential constant search space for a best fit value function |
Value
A single element vector that represents the rho value that best fits the exponential utility function to the desired inputs
See Also
SAVF_plot_rho_error
for plotting the rho squared error terms
SAVF_score
for computing the exponential single attribute value score
Examples
# Given the single attribute x is bounded between 1 and 5 and the subject matter experts
# prefer x values of 3, 4, & 5 provide a utility score of .75, .90 & 1.0 respectively, we
# can search for a rho value between 0-1 that provides the best fit utility function:
SAVF_preferred_rho(desired_x = c(3, 4, 5),
desired_v = c(.75, .9, 1),
x_low = 1,
x_high = 5,
rho_low = 0,
rho_high = 1)