structure(list(effectiveSize = structure(c(10420.6336002824, 
3302.35826192739), .Names = c("d.psych.usual", "sd.d")), summary = structure(list(
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    1.60030038746422, 1.55551736273052, 0.0113158325591141, 0.0109991687544016, 
    0.0162165565595118, 0.0290028342721291), .Dim = c(2L, 4L), .Dimnames = list(
        c("d.psych.usual", "sd.d"), c("Mean", "SD", "Naive SE", 
        "Time-series SE"))), quantiles = structure(c(-2.20644473413903, 
    1.06158255902847, 0.277804507411594, 2.48480011174171, 1.32576331984446, 
    3.38907415178408, 2.25215558528361, 4.51166268835305, 4.13071453787359, 
    7.29511242532043), .Dim = c(2L, 5L), .Dimnames = list(c("d.psych.usual", 
    "sd.d"), c("2.5%", "25%", "50%", "75%", "97.5%"))), start = 5002, 
    end = 15000, thin = 2, nchain = 4L), .Names = c("statistics", 
"quantiles", "start", "end", "thin", "nchain"), class = "summary.mcmc"), 
    cov = structure(2.56096133011815, .Dim = c(1L, 1L)), ranks = structure(c(0.20205, 
    0.79795, 0.79795, 0.20205), .Dim = c(2L, 2L), .Dimnames = list(
        c("psych", "usual"), NULL))), .Names = c("effectiveSize", 
"summary", "cov", "ranks"))