inst/models/values-1.1.1.3-U070_saem-unix.R

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

expected_values[[runno]] <- list(lik = c(-41175.85, 82377.7, 82466.73), param = c(6.9028, 
5.5653, 4.2448, 1.3915, 3.916, -0.015084, 0.20092), stdev_param = c(0.32965, 
0.2627, 0.26332, 0.28518, 0.33216, 0.2935, NA), sigma = c(prop.err = 0.20092), 
    parFixedDf = structure(list(Estimate = c(lVM = 6.90283294776903, 
    lKM = 5.56533787165496, lVc = 4.24481556158161, lQ = 1.39154638883971, 
    lVp = 3.9159507966067, lKA = -0.0150842323542866, prop.err = 0.200918242093955
    ), SE = c(lVM = 0.0316007899592024, lKM = 0.0432464674674861, 
    lVc = 0.0339431446857706, lQ = 0.065894712330562, lVp = 0.0369564803797276, 
    lKA = 0.0363021769752043, prop.err = NA), "%RSE" = c(0.457794505506839, 
    0.777068139703545, 0.799637680208735, 4.73535865272204, 0.943742204619925, 
    240.663072024929, NA), "Back-transformed" = c(995.089763606141, 
    261.213445420846, 69.7428956882149, 4.02106337517711, 50.1967757529807, 
    0.985028964799785, 0.200918242093955), "CI Lower" = c(935.327315017411, 
    239.984983578144, 65.2540569974104, 3.53387543577277, 46.6894125073589, 
    0.917378445970462, NA), "CI Upper" = c(1058.67071530493, 
    284.319723056385, 74.5405224256057, 4.57541612913557, 53.967616225582, 
    1.05766825649376, NA), "BSV(CV%)" = c(26.7949648117819, 29.1081413550781, 
    33.8807513408722, 34.1537755356602, 26.7300173121791, 29.9932682294876, 
    NA), "Shrink(SD)%" = c(12.0787293433579, 30.5684469192096, 
    3.71221906030504, 47.2358837771887, 30.4008989675941, 16.8771894353165, 
    NA)), class = "data.frame", row.names = c("lVM", "lKM", "lVc", 
    "lQ", "lVp", "lKA", "prop.err")), omega = structure(c(0.10866652281689, 
    0, 0, 0, 0, 0, 0, 0.0690122950125236, 0, 0, 0, 0, 0, 0, 0.0693366920385898, 
    0, 0, 0, 0, 0, 0, 0.0813296232252014, 0, 0, 0, 0, 0, 0, 0.110331374940786, 
    0, 0, 0, 0, 0, 0, 0.086140644094629), .Dim = c(6L, 6L), .Dimnames = list(
        c("eta.Vc", "eta.Vp", "eta.VM", "eta.KM", "eta.Q", "eta.KA"
        ), c("eta.Vc", "eta.Vp", "eta.VM", "eta.KM", "eta.Q", 
        "eta.KA"))), time = structure(list(saem = 535.748999999999, 
        setup = 0.225466999999345, table = 0.634000000000015, 
        cwres = 0.952000000000226, covariance = 0.244000000000597, 
        other = 0.473533000001225), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 69560.0803671325, AIC = 82377.7047493415, 
        BIC = 82466.7279011348, "Log-likelihood" = -41175.8523746708, 
        "Condition Number" = 7.72716858123419), row.names = "FOCEi", class = "data.frame"))