structure(list(effectiveSize = structure(c(3891.12097025544, 
4432.57531445087, 6658.24807465956, 20737.6277667317, 1995.81253232397
), .Names = c("d.D.A", "d.D.B", "d.D.C", "d.D.E", "sd.d")), summary = structure(list(
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    0.0333447637350221, -0.298516345157708, 0.36799996250286, 
    0.602976696797114, 0.669734944885716, 0.454308455044185, 
    0.413032079274214, 0.346916459714541, 0.00213184455601352, 
    0.00236787060563144, 0.00160622294656063, 0.00146028892051188, 
    0.00122653490584691, 0.00974470734158414, 0.0102832368412415, 
    0.00564384111363581, 0.00289697004164241, 0.00778232979982177
    ), .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(-0.629920816508038, -2.63548417902084, 
    -0.863029204548734, -1.12975108662943, 0.0121824678185656, 
    0.167028439321915, -1.71155159083651, -0.237133391937875, 
    -0.505727141432974, 0.118759393028087, 0.537842616244198, 
    -1.29408565153562, 0.0327891158057697, -0.298145540338414, 
    0.268292563529314, 0.911940584066416, -0.887383560149662, 
    0.304645449169863, -0.0895042492022365, 0.507211269315543, 
    1.73526999421649, -0.0236512247434855, 0.91746863997123, 
    0.53421338205999, 1.31196431534602), .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(0.363580896880358, 
0.282990197527293, 0.0956482066367819, -0.000322613846238518, 
0.282990197527293, 0.448544896401073, 0.0739985279005633, -0.00115712864824303, 
0.0956482066367819, 0.0739985279005633, 0.206396172324634, 3.40861344562332e-05, 
-0.000322613846238518, -0.00115712864824303, 3.40861344562332e-05, 
0.170595498509581), .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(0.731925, 0.0008625, 0.13165, 0.09035, 
0.0452125, 0.1379125, 0.0101875, 0.4007625, 0.3543625, 0.096775, 
0.0770375, 0.0170125, 0.2552125, 0.4600125, 0.190725, 0.0524125, 
0.0666, 0.1976375, 0.0907375, 0.5926125, 0.0007125, 0.9053375, 
0.0147375, 0.0045375, 0.074675), .Dim = c(5L, 5L), .Dimnames = list(
    c("A", "B", "C", "D", "E"), NULL), class = "mtc.rank.probability", direction = 1), 
    dic = structure(list(Dbar = 6.55069695573273, pD = 5.35284675849313, 
        DIC = 11.9035437142259, `data points` = 8L), .Names = c("Dbar", 
    "pD", "DIC", "data points"))), .Names = c("effectiveSize", 
"summary", "cov", "ranks", "dic"))
