ll_ordered: Compute ordered probit log-likelihood
In RprobitB: Bayesian Probit Choice Modeling

ll_ordered

R Documentation

Compute ordered probit log-likelihood

Description

Compute ordered probit log-likelihood

Usage

ll_ordered(d, y, sys, Tvec)

Arguments

`d`	[`numeric(J - 2)`] Threshold increments.
`y`	[`matrix(nrow = N, ncol = max(Tvec))`] Choices `1,...,J` for each decider in each choice occasion.
`sys`	[`matrix(nrow = N, ncol = max(Tvec))`] Systematic utilties for each decider in each choice occasion.
`Tvec`	[`integer(N)`] Number of choice occasions per decider.

Value

The ordered probit log-likelihood value.

Examples

d <- c(0, 0, 0)
y <- matrix(c(1, 2, 1, NA), ncol = 2)
sys <- matrix(c(0, 0, 0, NA), ncol = 2)
Tvec <- c(2, 1)
ll_ordered(d = d, y = y, sys = sys, Tvec = Tvec)

RprobitB documentation built on Aug. 26, 2025, 1:08 a.m.