structure(list(effectiveSize = structure(c(12655.6175975839, 
2372.98210959637), .Names = c("d.psych.usual", "sd.d")), summary = structure(list(
    statistics = structure(c(1.35092789320737, 2.19225893128292, 
    0.983956914809342, 1.2242240958334, 0.0069576260685708, 0.0086565715985577, 
    0.00885983376735788, 0.0278458347498079), .Dim = c(2L, 4L
    ), .Dimnames = list(c("d.psych.usual", "sd.d"), c("Mean", 
    "SD", "Naive SE", "Time-series SE"))), quantiles = structure(c(-0.658053218692988, 
    0.324654173971782, 0.787225293886728, 1.33155994239758, 1.35735696956074, 
    2.01024138499043, 1.91351043170031, 2.83025388159952, 3.34312874345753, 
    5.19866211698561), .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(0.968171210201119, .Dim = c(1L, 1L)), ranks = structure(c(0.07155, 
    0.92845, 0.92845, 0.07155), .Dim = c(2L, 2L), .Dimnames = list(
        c("psych", "usual"), NULL))), .Names = c("effectiveSize", 
"summary", "cov", "ranks"))
