structure(list(effectiveSize = structure(16781.0195714451, .Names = "d.control.diet"), summary = structure(list(statistics = structure(c(-0.00770627169745623, 0.0534341165393374, 0.000188918130758389, 0.000412525487172919 ), .Names = c("Mean", "SD", "Naive SE", "Time-series SE")), quantiles = structure(c(-0.112410489145885, -0.0437610487614927, -0.00783282534735827, 0.0284324055826491, 0.0971751154902131 ), .Names = c("2.5%", "25%", "50%", "75%", "97.5%")), start = 5001, end = 25000, thin = 1, nchain = 4L), .Names = c("statistics", "quantiles", "start", "end", "thin", "nchain"), class = "summary.mcmc"), cov = structure(0.00285520481033949, .Dim = c(1L, 1L)), ranks = structure(c(0.5584875, 0.4415125, 0.4415125, 0.5584875), .Dim = c(2L, 2L), .Dimnames = list( c("control", "diet"), NULL), class = "mtc.rank.probability", direction = 1), dic = structure(list(Dbar = 21.9634749556293, pD = 11.080658995388, DIC = 33.0441339510173, `data points` = 20L), .Names = c("Dbar", "pD", "DIC", "data points"))), .Names = c("effectiveSize", "summary", "cov", "ranks", "dic"))