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posteriors(object, thetas = c("sigma.0", "p.0"), index = 1, alphas = c(0.95, 0.9, 0.75), xlab = "", ylab = "", ...) "posteriors"(object, thetas = c("sigma.0", "p.0"), index = 1, alphas = c(0.95, 0.9, 0.75), xlab = "", ylab = "", ...)
bacon
y <- rnormmix(2000, c(0.9, 0, 1, 0, 4, 1)) ##nbins = 100 to speed up the calculations bc <- bacon(y, nbins=100) posteriors(bc)
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