Hello all,

I am currently attempting to replicate data from a political science article
that utilized a Markov chain transition model to predict voter turnout
intention at time *t*; the data was separated into two different models
based on whether prior intent was to vote or not to vote.  The details don't
really matter.

Mostly I am curious how to run a Markov chain transition model in R,
estimating different coefficients for two prior conditions.  I have tried
installing and running numerous packages, including elrm and MCMC, but I
don't think this calls for Monte Carlo simulation.  (The transition matrix
in this case, after all, would be only 2 x 2, and the models are pretty
simple).  If someone could point me in the right direction I would greatly
appreciate it....

ES

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