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")
#> c.1..0..1. c.0..1..1. c.1..1..1.
#> 0.5188782 0.0000000 0.0000000