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"))