inst/models/values-1.1.1.3-U035_solve_saem-unix.R

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

expected_values[[runno]] <- list(lik = c(-39288.66, 78595.32, 78656.95), param = c(1.3401, 
4.1853, 1.3847, 3.9281, 0.20019), stdev_param = c(0.31591, 0.33975, 
0.30198, 0.32619, NA), sigma = c(prop.err = 0.20019), parFixedDf = structure(list(
    Estimate = c(lCl = 1.34006400540162, lVc = 4.18530894358061, 
    lQ = 1.38466232443868, lVp = 3.92806952775481, prop.err = 0.200189854435532
    ), SE = c(lCl = 0.0311687690781906, lVc = 0.0295063924150538, 
    lQ = 0.0433820601257006, lVp = 0.0323478273764653, prop.err = NA
    ), "%RSE" = c(2.32591644522601, 0.704999148517112, 3.13304257363158, 
    0.823504450415228, NA), "Back-transformed" = c(3.81928795260257, 
    65.7137996375518, 3.99347717746581, 50.8087979588182, 0.200189854435532
    ), "CI Lower" = c(3.59295268924877, 62.0212753589699, 3.66795779851972, 
    47.6874829314138, NA), "CI Upper" = c(4.05988103003523, 69.6261635674309, 
    4.34788534736588, 54.1344141340587, NA), "BSV(CV%)" = c(34.9795838480819, 
    32.3954942529636, 33.5061787523369, 30.9000720115847, NA), 
    "Shrink(SD)%" = c(-0.0375638397292599, 1.30351198272972, 
    31.8634589578492, 13.3088324768638, NA)), class = "data.frame", row.names = c("lCl", 
"lVc", "lQ", "lVp", "prop.err")), omega = structure(c(0.0997971933488273, 
0, 0, 0, 0, 0.115431052906361, 0, 0, 0, 0, 0.0911939424677826, 
0, 0, 0, 0, 0.106399736792957), .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 = 82.0929999999999, 
    setup = 0.298222999999973, table = 0.478999999999985, cwres = 0.814999999999998, 
    covariance = 0.128000000000043, other = 0.329777000000092), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 65785.6934909967, AIC = 78595.3178732058, 
        BIC = 78656.9492859857, "Log-likelihood" = -39288.6589366029, 
        "Condition Number" = 2.25187205810945), row.names = "FOCEi", class = "data.frame"))