inst/models/values-1.1.1.3-U069_focei-unix.R

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

expected_values[[runno]] <- list(lik = c(-29731.96, 59489.93, 59573.79), param = c(7.1115, 
6.2221, 4.3459, 0.36066, 3.7175, 0.077489, 0.20136), stdev_param = c(0.30161, 
0.28783, 0.26007, 0.49724, 0.60684, 0.35526, NA), sigma = c(prop.err = 0.20136), 
    parFixedDf = structure(list(Estimate = c(lVM = 7.1114849433786, 
    lKM = 6.2220731644239, lVc = 4.34585575900398, lQ = 0.360659962702428, 
    lVp = 3.71750425814202, lKA = 0.0774885342308057, prop.err = 0.201359544705032
    ), SE = c(lVM = 0.0686828894379189, lKM = 0.126398080565292, 
    lVc = 0.0350903861229902, lQ = 0.106227817818116, lVp = 0.0665781328118515, 
    lKA = 0.0601337604524033, prop.err = NA), "%RSE" = c(0.965802360333597, 
    2.03144638812673, 0.807444794970199, 29.4537317150898, 1.79093628920621, 
    77.6034300420371, NA), "Back-transformed" = c(1225.96668621049, 
    503.746499535527, 77.1580379207183, 1.43427567072679, 41.1615372384768, 
    1.08056984282312, 0.201359544705032), "CI Lower" = c(1071.55801130791, 
    393.207506467231, 72.0297959463609, 1.16469268861424, 36.1260248533418, 
    0.960432600490152, NA), "CI Upper" = c(1402.62524271871, 
    645.360354572591, 82.6513908245463, 1.76625707343143, 46.8989365620109, 
    1.21573464355841, NA), "BSV(CV%)" = c(26.4526498798601, 52.9623702320417, 
    30.8597956474464, 66.7234742659536, 29.3896193250286, 36.6774383979889, 
    NA), "Shrink(SD)%" = c(33.5801594607393, 35.877361170654, 
    8.23864197710755, 44.7911876665513, 54.5042263018486, 37.9612166737283, 
    NA)), class = "data.frame", row.names = c("lVM", "lKM", "lVc", 
    "lQ", "lVp", "lKA", "prop.err")), omega = structure(c(0.0909668509563928, 
    0, 0, 0, 0, 0, 0, 0.0828464403763469, 0, 0, 0, 0, 0, 0, 0.0676346001161008, 
    0, 0, 0, 0, 0, 0, 0.247251615379786, 0, 0, 0, 0, 0, 0, 0.368249243824603, 
    0, 0, 0, 0, 0, 0, 0.126212693815549), .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(setup = 13.786331, 
        optimize = 887.244628, covariance = 887.244629, table = 0.398999999999432, 
        other = 7035.366412), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 50862.6642374567, AIC = 59489.9289082524, 
        BIC = 59573.7926023082, "Log-likelihood" = -29731.9644541262, 
        "Condition Number" = 29.5118984745935), row.names = "FOCEi", class = "data.frame"))