inst/models/values-1.1.1.3-U040_focei-unix.R

In nlmixrdevelopment/nlmixr.examples: Nonlinear Mixed Effects Models in Population Pharmacokinetics and Pharmacodynamics

expected_values[[runno]] <- list(lik = c(-11987.5, 23997.01, 24060.06), param = c(6.804, 
5.2924, 4.2586, 1.3754, 3.9184, 0.19297), stdev_param = c(0.31887, 
0.17378, 0.28761, 0.3504, 0.32003, NA), sigma = c(prop.err = 0.19297), 
    parFixedDf = structure(list(Estimate = c(lVM = 6.80400988107579, 
    lKM = 5.29240896501184, lVc = 4.25856502916806, lQ = 1.37541172651271, 
    lVp = 3.91840162157974, prop.err = 0.192970286609141), SE = c(lVM = 0.096139067824416, 
    lKM = 0.144487720489721, lVc = 0.0275993088023539, lQ = 0.0602364585576807, 
    lVp = 0.0592503241478771, prop.err = NA), "%RSE" = c(1.41297660504302, 
    2.73009363873674, 0.648089406016318, 4.37952195670219, 1.51210442088348, 
    NA), "Back-transformed" = c(901.454780480974, 198.821803748521, 
    70.7084460624305, 3.95670546814298, 50.3199501423425, 0.192970286609141
    ), "CI Lower" = c(746.638229998788, 149.78759191489, 66.9851784608907, 
    3.51609302531005, 44.8029112324834, NA), "CI Upper" = c(1088.37277358985, 
    263.90777193532, 74.6386657383128, 4.45253241280555, 56.5163582604871, 
    NA), "BSV(CV%)" = c(32.7149629442364, 17.5096268049668, 29.365713608993, 
    36.143839977695, 32.8404357789148, NA), "Shrink(SD)%" = c(10.7719007594266, 
    68.7957272970492, 2.78416946420764, 40.5650911169808, 27.5754509009757, 
    NA)), class = "data.frame", row.names = c("lVM", "lKM", "lVc", 
    "lQ", "lVp", "prop.err")), omega = structure(c(0.101677935314514, 
    0, 0, 0, 0, 0, 0.0301981153955088, 0, 0, 0, 0, 0, 0.0827171407193479, 
    0, 0, 0, 0, 0, 0.122781824717942, 0, 0, 0, 0, 0, 0.102420678561712
    ), .Dim = c(5L, 5L), .Dimnames = list(c("eta.VM", "eta.KM", 
    "eta.Vc", "eta.Q", "eta.Vp"), c("eta.VM", "eta.KM", "eta.Vc", 
    "eta.Q", "eta.Vp"))), time = structure(list(setup = 9.54087300000127, 
        optimize = 28.103878, covariance = 28.10388, table = 0.0980000000017753, 
        other = 124.291368999996), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 19784.6478655986, AIC = 23997.0075770119, 
        BIC = 24060.0588149534, "Log-likelihood" = -11987.503788506, 
        "Condition Number" = 45.788998280252), row.names = "FOCEi", class = "data.frame"))