inst/models/values-1.1.1.3-U033_solve_saem-unix.R

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

expected_values[[runno]] <- list(lik = c(-27495.21, 55008.42, 55066.48), param = c(1.3311, 
4.1777, 1.4408, 3.8503, 0.2025), stdev_param = c(0.30908, 0.34369, 
0.27056, 0.45401, NA), sigma = c(prop.err = 0.2025), parFixedDf = structure(list(
    Estimate = c(lCl = 1.33111377103362, lVc = 4.17771744366026, 
    lQ = 1.44076308853026, lVp = 3.85029772461521, prop.err = 0.202496238797861
    ), SE = c(lCl = 0.0315993586616768, lVc = 0.0298091499982591, 
    lQ = 0.0685901119829, lVp = 0.0341130292171179, prop.err = NA
    ), "%RSE" = c(2.37390366994247, 0.713527192785497, 4.76067942945911, 
    0.885984192833479, NA), "Back-transformed" = c(3.78525695020717, 
    65.216822121991, 4.22391781074112, 47.0070563061853, 0.202496238797861
    ), "CI Lower" = c(3.55793445113762, 61.5157096252492, 3.69259306666518, 
    43.9669148544052, NA), "CI Upper" = c(4.02710347137237, 69.1406132450054, 
    4.83169451650648, 50.2574117353945, NA), "BSV(CV%)" = c(35.4094765097492, 
    31.6611811368238, 47.8444633082239, 27.5583806740726, NA), 
    "Shrink(SD)%" = c(0.1509034316304, 3.68071811003027, 40.6117336928236, 
    23.1478085090295, NA)), class = "data.frame", row.names = c("lCl", 
"lVc", "lQ", "lVp", "prop.err")), omega = structure(c(0.095531100034087, 
0, 0, 0, 0, 0.118123513393436, 0, 0, 0, 0, 0.0732006784722756, 
0, 0, 0, 0, 0.206127001109341), .Dim = c(4L, 4L), .Dimnames = list(
    c("eta.Vc", "eta.Cl", "eta.Vp", "eta.Q"), c("eta.Vc", "eta.Cl", 
    "eta.Vp", "eta.Q"))), time = structure(list(saem = 78.018, 
    setup = 0.542167000000011, table = 0.240000000000009, cwres = 0.814999999999998, 
    covariance = 0.0860000000000127, other = 0.302832999999993), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 46389.152925007, AIC = 55008.4175958028, 
        BIC = 55066.477076303, "Log-likelihood" = -27495.2087979014, 
        "Condition Number" = 5.78417995584091), row.names = "FOCEi", class = "data.frame"))