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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    "d.D.C", "d.D.E", "sd.d"), c("Mean", "SD", "Naive SE", "Time-series SE"
    ))), quantiles = structure(c(-0.690851646854597, -2.70652398102216, 
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    -1.3303970146185, 0.0314663449506125, -0.294570850556096, 
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    -0.0928278307113507, 0.512065948425344, 1.74778681522262, 
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    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%", 
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"quantiles", "start", "end", "thin", "nchain"), class = "summary.mcmc"), 
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    "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, 
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    0.0985375, 0.0836125, 0.0183875, 0.247675, 0.45365, 0.196675, 
    0.0592, 0.0633125, 0.202425, 0.0904, 0.5846625, 0.0008875, 
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    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"))