update_U_ranked: Update latent utility vector in the ranked probit case

In RprobitB: Bayesian Probit Choice Modeling

Update latent utility vector in the ranked probit case

Description

This function updates the latent utility vector in the ranked probit case.

Usage

update_U_ranked(U, sys, Sigmainv)

Arguments

U	The current utility vector of length J-1, differenced such that the vector is negative.
sys	A vector of length J-1, the systematic utility part.
Sigmainv	The inverted error term covariance matrix of dimension J-1 x J-1.

Details

This update is basically the same as in the non-ranked case, despite that the truncation point is zero.

Value

An updated utility vector of length J-1.

Examples

U <- c(0,0)
sys <- c(0,0)
Sigmainv <- diag(2)
update_U_ranked(U, sys, Sigmainv)

RprobitB documentation built on Nov. 10, 2022, 5:12 p.m.