structure(list(effectiveSize = structure(c(3236.13896085256, 
3664.44054848893, 7095.0287125562, 21741.3136886355, 2026.76911384777
), .Names = c("d.D.A", "d.D.B", "d.D.C", "d.D.E", "sd.d")), summary = structure(list(
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    0.0290190544844919, -0.29794289367157, 0.372892670669298, 
    0.617969802681483, 0.687976767892201, 0.458350900559442, 
    0.417644667449479, 0.353153704437786, 0.00218485319022295, 
    0.00243236518937689, 0.00162051514974271, 0.00147659688239963, 
    0.00124858689604554, 0.0109768729596711, 0.0115128913002589, 
    0.00547496020518293, 0.00283590412226499, 0.00786273470777539
    ), .Dim = c(5L, 4L), .Dimnames = list(c("d.D.A", "d.D.B", 
    "d.D.C", "d.D.E", "sd.d"), c("Mean", "SD", "Naive SE", "Time-series SE"
    ))), quantiles = structure(c(-0.690851646854597, -2.70652398102216, 
    -0.881903774891221, -1.14748631648327, 0.00887824743524836, 
    0.151067448281384, -1.74981531583448, -0.242561461606207, 
    -0.505996155874541, 0.118722262808919, 0.52222564344534, 
    -1.3303970146185, 0.0314663449506125, -0.294570850556096, 
    0.273019631578773, 0.9043392278308, -0.903151499651083, 0.305807962281106, 
    -0.0928278307113507, 0.512065948425344, 1.74778681522262, 
    0.00508916061162468, 0.910061840582692, 0.557416328324281, 
    1.34985639725901), .Dim = c(5L, 5L), .Dimnames = list(c("d.D.A", 
    "d.D.B", "d.D.C", "d.D.E", "sd.d"), 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(c(0.381886677026191, 0.30297706151421, 0.0970884013426844, 
    -0.000752856748590283, 0.30297706151421, 0.4733120331594, 
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    0.0779558622141362, 0.210085548043652, -0.00162648964502598, 
    -0.000752856748590283, -0.00124681746901071, -0.00162648964502598, 
    0.174427068248986), .Dim = c(4L, 4L), .Dimnames = list(c("d.D.A", 
    "d.D.B", "d.D.C", "d.D.E"), c("d.D.A", "d.D.B", "d.D.C", 
    "d.D.E"))), ranks = structure(c(0.7217375, 0.001, 0.1354125, 
    0.0937125, 0.0481375, 0.1345625, 0.0113125, 0.3982375, 0.35735, 
    0.0985375, 0.0836125, 0.0183875, 0.247675, 0.45365, 0.196675, 
    0.0592, 0.0633125, 0.202425, 0.0904, 0.5846625, 0.0008875, 
    0.9059875, 0.01625, 0.0048875, 0.0719875), .Dim = c(5L, 5L
    ), .Dimnames = list(c("A", "B", "C", "D", "E"), NULL), class = "mtc.rank.probability", direction = 1), 
    dic = structure(list(Dbar = 9.63384178632538, pD = 8.44764869933823, 
        DIC = 18.0814904856636, `data points` = 11L), .Names = c("Dbar", 
    "pD", "DIC", "data points"))), .Names = c("effectiveSize", 
"summary", "cov", "ranks", "dic"))
