mcmc

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MCMClogit混亂

可能有人向我解釋爲什麼 simulatedCase <- rbinom(100,1,0.5) simDf <- data.frame(CASE = simulatedCase) posterior_m0 <<- MCMClogit(CASE ~ 1, data = simDf, b0 = 0, B0 = 1) 結果總是在0 MCMC接受比例是多少？任何解釋將不勝感激！

r bayesian montecarlo markov-chains mcmc 2009-10-06

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