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...13) my code is simple the following: > m_a <- ideal(a, maxiter = 1000, thin = 10, burnin = 50, + store.item = TRUE, normalize=T, + priors=list(xp=1e-12,xpv=1e-12,bp=1e-12,bpv=1e-12), verbose=T) ideal: analysis of roll call data via Markov chain Monte Carlo methods. Subsetting rollcall object a using dropList Using the following codes to represent roll call votes: Yea: 1 Nay: 0 Abstentions: NA Not In Legislature: 9 Ideal Point Estimation Number of Legislators 30 Number of Items 1172 checking for any user-supplied priors... checking start values... will use eigen-d...