Description Usage Arguments Value See Also Examples

View source: R/single-attribute-value-functions.R

`SAVF_preferred_rho`

computes the preferred rho that minimizes the
squared error between subject matter input desired values and exponentially
fitted scores

1 2 | ```
SAVF_preferred_rho(desired_x, desired_v, x_low, x_high, rho_low = 0,
rho_high = 1)
``` |

`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 |

A single element vector that represents the rho value that best fits the exponential utility function to the desired inputs

`SAVF_plot_rho_error`

for plotting the rho squared error terms

`SAVF_score`

for computing the exponential single attribute value score

1 2 3 4 5 6 7 8 9 10 | ```
# 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)
``` |

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