log_like_probit_group: Log-likelihood Function

In soichiroy/orddid: Difference-in-Differences Design for Ordinal Outcome

Description

Log-likelihood Function

Usage

log_like_probit_group(par, Y, cut, id_group, n_group, n_gj, j_min, j_max)

Arguments

par	A vector of parameters. means: par[1:3]; scale: par[4:6]; cutoff: par[7:] (only when J > 3)
Y	A vector of categorical outcome.
cut	A set of two cutoffs fixed for identification. Default is cut = c(0, 1).
id_group	A vector of group indicator.

soichiroy/orddid documentation built on Oct. 3, 2020, 5:10 a.m.