Manually estimate probit model with autoregressive structure in R

Question

I would like to write an R algorithm which would perform the Maximum Likelihood estimation of a binary choice model (probit/logit, it does not really matter) with the following structure for the latent variable:

I understand the logics provided in this answer, however, I do not understand how to account for the presence of the lagged value of latent variable.