structure(list(effectiveSize = structure(16781.0195714451, .Names = "d.control.diet"), 
    summary = structure(list(statistics = structure(c(-0.00770627169745623, 
    0.0534341165393374, 0.000188918130758389, 0.000412525487172919
    ), .Names = c("Mean", "SD", "Naive SE", "Time-series SE")), 
        quantiles = structure(c(-0.112410489145885, -0.0437610487614927, 
        -0.00783282534735827, 0.0284324055826491, 0.0971751154902131
        ), .Names = c("2.5%", "25%", "50%", "75%", "97.5%")), 
        start = 5001, end = 25000, thin = 1, nchain = 4L), .Names = c("statistics", 
    "quantiles", "start", "end", "thin", "nchain"), class = "summary.mcmc"), 
    cov = structure(0.00285520481033949, .Dim = c(1L, 1L)), ranks = structure(c(0.5584875, 
    0.4415125, 0.4415125, 0.5584875), .Dim = c(2L, 2L), .Dimnames = list(
        c("control", "diet"), NULL), class = "mtc.rank.probability", direction = 1), 
    dic = structure(list(Dbar = 21.9634749556293, pD = 11.080658995388, 
        DIC = 33.0441339510173, `data points` = 20L), .Names = c("Dbar", 
    "pD", "DIC", "data points"))), .Names = c("effectiveSize", 
"summary", "cov", "ranks", "dic"))