R help - Jan 2015 - Probit regression with misclassified binary dependent variable

Is there a generalized linear mixed-effects model implementation for R that
could handle misclassified binary data? Unless I have overlooked something
in the documentation, glmer with family=binomial(link="probit") does
not
handle misclassification. Closest to what I have found was misclass, which
implements Hausman et al. 1998, in an old McSpatial package version 1.1.1,
but it is no longer available and does not handle random effects.

Hausman, J. A., Abrevaya, J., & Scott-Morton, F. M. (1998).
Misclassification of the dependent variable in a discrete-response setting.
Journal of Econometrics, 87(2), 239-269.

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