ll_ordered: Log-likelihood in the ordered probit model

In loelschlaeger/RprobitB: Bayesian Probit Choice Modeling

Log-likelihood in the ordered probit model

Description

This function computes the log-likelihood value given the threshold increments d.

Usage

ll_ordered(d, y, mu, Tvec)

Arguments

d	A numeric vector of threshold increments.
y	A matrix of the choices.
mu	A matrix of the systematic utilities.
Tvec	The element Tvec in sufficient_statistics.

Value

The log-likelihood value.

Examples

ll_ordered(c(0,0,0), matrix(1), matrix(1), 1)

loelschlaeger/RprobitB documentation built on Oct. 15, 2024, 11:08 a.m.