infer: A function that estimates the user's underlying utility...
In jlepird/BayesPref: R Package for Pairwise Preference Elicitation

infer

R Documentation

A function that estimates the user's underlying utility function.

Description

A function that estimates the user's underlying utility function.

Usage

infer(p, estimate = "recommended", nbatch = 1000)

Arguments

`p`	A BayesPrefClass instance.
`estimate`	The type of posterior point-estimate returned. Valid options are "recommended" (default), "MAP", and "mean".
`nbatch`	If using Monte Carlo estimates, the number of samples. Defaults to 1000.

Value

A vector of parameters that best fits the observed preferences.

Examples

 p <- prefEl(data = data.frame(c(1,0,1), c(0,1,1), c(1,1,1)),
             priors = c(Normal(0, 1), Exp(0.5), Flat()))
 p$addPref(1 %>% 2)
 infer(p, estimate = "MAP")

jlepird/BayesPref documentation built on June 14, 2025, 2:45 a.m.