structure(list(effectiveSize = structure(c(3934.30621977895, 
4345.15300412452, 5495.48247327213, 18720.5195523817, 1927.06410762688
), .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"
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    0.299718384848243, -0.0913124984378242, 0.508462643662048, 
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        c("d.D.A", "d.D.B", "d.D.C", "d.D.E", "sd.d"), c("2.5%", 
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"start", "end", "thin", "nchain"), class = "summary.mcmc"), cov = structure(c(0.367373326727795, 
0.28843620708944, 0.100687618518661, -0.000209413138930767, 0.28843620708944, 
0.457490498921942, 0.0801742194282771, -0.000907053291308965, 
0.100687618518661, 0.0801742194282771, 0.218200166043556, 0.000499422289314709, 
-0.000209413138930767, -0.000907053291308965, 0.000499422289314709, 
0.173811285165857), .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(0.7291, 0.000825, 0.1306625, 0.0932, 
0.0462125, 0.13365, 0.010075, 0.401175, 0.3522625, 0.1028375, 
0.078175, 0.0173125, 0.2473, 0.4614, 0.1958125, 0.05845, 0.06275, 
0.2066375, 0.0883, 0.5838625, 0.000625, 0.9090375, 0.014225, 
0.0048375, 0.071275), .Dim = c(5L, 5L), .Dimnames = list(c("A", 
"B", "C", "D", "E"), NULL), class = "mtc.rank.probability", direction = 1), 
    dic = structure(list(Dbar = 13.5910323741519, pD = 12.3959335603808, 
        DIC = 25.9869659345327, `data points` = 15L), .Names = c("Dbar", 
    "pD", "DIC", "data points"))), .Names = c("effectiveSize", 
"summary", "cov", "ranks", "dic"))