structure(list(effectiveSize = structure(c(10420.6336002824, 3302.35826192739), .Names = c("d.psych.usual", "sd.d")), summary = structure(list( statistics = structure(c(1.22061247119591, 3.60223738888617, 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"))