structure(list(effectiveSize = structure(c(18760.1322057525, 
15993.0916467965, 17028.4935445138, 11262.8528592698), .Names = c("d.A.B", 
"d.A.C", "d.A.D", "sd.d")), summary = structure(list(statistics = structure(c(0.491411250749662, 
0.836279257213568, 1.10153637289963, 0.845257226765208, 0.402059818062437, 
0.239726571519915, 0.437678108219602, 0.187590797981963, 0.00284299223794579, 
0.00169512284352334, 0.0030948515829898, 0.00132646725341242, 
0.0032354663225967, 0.00210232452118238, 0.00337672731298428, 
0.00187207637671992), .Dim = c(4L, 4L), .Dimnames = list(c("d.A.B", 
"d.A.C", "d.A.D", "sd.d"), c("Mean", "SD", "Naive SE", "Time-series SE"
))), quantiles = structure(c(-0.280360888921278, 0.391780257839431, 
0.261735552994774, 0.545783643803621, 0.223163460361759, 0.678327288685079, 
0.813042937363757, 0.710979804248265, 0.482875065942942, 0.827870799432167, 
1.09277743716581, 0.822875855629437, 0.748909361951364, 0.98839611057776, 
1.38206752410806, 0.954372891765905, 1.30163014132725, 1.32740699197803, 
1.99511003931358, 1.27538451517256), .Dim = 4:5, .Dimnames = list(
    c("d.A.B", "d.A.C", "d.A.D", "sd.d"), c("2.5%", "25%", "50%", 
    "75%", "97.5%"))), start = 10010, end = 60000, thin = 10, 
    nchain = 4L), .Names = c("statistics", "quantiles", "start", 
"end", "thin", "nchain"), class = "summary.mcmc"), cov = structure(c(0.1616520973004, 
0.0237094894962299, 0.0582218375920789, 0.0237094894962299, 0.0574688290926931, 
0.0375692420251048, 0.0582218375920789, 0.0375692420251048, 0.19156212641469
), .Dim = c(3L, 3L), .Dimnames = list(c("d.A.B", "d.A.C", "d.A.D"
), c("d.A.B", "d.A.C", "d.A.D"))), ranks = structure(c(0.000200036006481167, 
0.0590606309135644, 0.22804104738853, 0.712878318097257, 0.00285051309235662, 
0.176931847732592, 0.601458262487248, 0.218939409093637, 0.10281850733132, 
0.663019343481827, 0.170430677521954, 0.0639115040707327, 0.894310975975676, 
0.10116821027785, 0.000250045008101458, 0.00445080114420596), .Dim = c(4L, 
4L), .Dimnames = list(c("A", "B", "C", "D"), NULL))), .Names = c("effectiveSize", 
"summary", "cov", "ranks"))