inst/models/values-1.1.1.3-U061_focei-unix.R

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

expected_values[[runno]] <- list(lik = c(-27007.94, 54037.88, 54108.84), param = c(1.3404, 
4.2459, 1.432, 3.7504, -0.070759, 0.19803), stdev_param = c(0.25682, 
0.32047, 0.30592, 0.42608, 0.34253, NA), sigma = c(prop.err = 0.19803), 
    parFixedDf = structure(list(Estimate = c(lCl = 1.34042025410003, 
    lVc = 4.24585312760699, lQ = 1.43203156915636, lVp = 3.75039808704715, 
    lKA = -0.0707590118805398, prop.err = 0.198028120189339), 
        SE = c(lCl = 0.029771515662382, lVc = 0.0365222504535275, 
        lQ = 0.150730593252595, lVp = 0.0578551073199194, lKA = 0.0613071586014936, 
        prop.err = NA), "%RSE" = c(2.22105832639561, 0.860186383180707, 
        10.5256473739188, 1.54263910062601, 86.6421915345518, 
        NA), "Back-transformed" = c(3.82064881135226, 69.8152961009018, 
        4.18719713747452, 42.5380124617131, 0.93168639042695, 
        0.198028120189339), "CI Lower" = c(3.60408943757911, 
        64.9924319828359, 3.11617109492287, 37.9778904592702, 
        0.826199644143774, NA), "CI Upper" = c(4.05022061536092, 
        74.9960483236545, 5.62633415624721, 47.6456823249164, 
        1.05064137495046, NA), "BSV(CV%)" = c(32.8872458550983, 
        26.1114367061889, 44.616660353817, 31.3223788005692, 
        35.2827871533371, NA), "Shrink(SD)%" = c(1.14790474259585, 
        13.21694227932, 47.6175422585718, 26.9021211981402, 21.9394389171954, 
        NA)), class = "data.frame", row.names = c("lCl", "lVc", 
    "lQ", "lVp", "lKA", "prop.err")), omega = structure(c(0.0659569328591293, 
    0, 0, 0, 0, 0, 0.102698359857496, 0, 0, 0, 0, 0, 0.093589738304697, 
    0, 0, 0, 0, 0, 0.181541784611289, 0, 0, 0, 0, 0, 0.117327382467363
    ), .Dim = c(5L, 5L), .Dimnames = list(c("eta.Vc", "eta.Cl", 
    "eta.Vp", "eta.Q", "eta.KA"), c("eta.Vc", "eta.Cl", "eta.Vp", 
    "eta.Q", "eta.KA"))), time = structure(list(setup = 0.17228500000147, 
        optimize = 542.365018, covariance = 542.36502, table = 0.419000000001688, 
        other = 788.026676999995), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 45414.6169145569, AIC = 54037.8815853526, 
        BIC = 54108.8431726306, "Log-likelihood" = -27007.9407926763, 
        "Condition Number" = 42.7106488728573), row.names = "FOCEi", class = "data.frame"))