inst/models/values-1.1.1.3-U047_solve_saem-unix.R

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

expected_values[[runno]] <- list(lik = c(-30311.75, 60641.5, 60699.56), param = c(1.2072, 
4.7344, 2.8251, 2.6834, 0.48588), stdev_param = c(0.17801, 0.21832, 
0.22143, 0.28636, NA), sigma = c(prop.err = 0.48588), parFixedDf = structure(list(
    Estimate = c(lCl = 1.20720393123765, lVc = 4.73439214284958, 
    lQ = 2.82506793789029, lVp = 2.68340341960861, prop.err = 0.48587555644289
    ), SE = c(lCl = 0.021340840911761, lVc = 0.0935233622459423, 
    lQ = 1.79170355956471, lVp = 0.715445121080358, prop.err = NA
    ), "%RSE" = c(1.76779087273862, 1.9754037989268, 63.4216096375623, 
    26.6618547122784, NA), "Back-transformed" = c(3.34412117543024, 
    113.794267032117, 16.8620905220319, 14.6348170558102, 0.48587555644289
    ), "CI Lower" = c(3.20713062678413, 94.7355874583036, 0.503281053814872, 
    3.60080254353264, NA), "CI Upper" = c(3.48696318839205, 136.687126314345, 
    564.95291173386, 59.4805929144089, NA), "BSV(CV%)" = c(22.0949734107065, 
    17.9430557455718, 29.2330485898935, 22.417709124235, NA), 
    "Shrink(SD)%" = c(4.2176788002923, 33.7509712111229, 93.3240782437283, 
    87.3563932937978, NA)), class = "data.frame", row.names = c("lCl", 
"lVc", "lQ", "lVp", "prop.err")), omega = structure(c(0.0316879175116824, 
0, 0, 0, 0, 0.0476645642546871, 0, 0, 0, 0, 0.0490333424447993, 
0, 0, 0, 0, 0.0820012005606898), .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 = 90.37, 
    setup = 0.292855000000011, table = 0.288000000000011, cwres = 0.644000000000005, 
    covariance = 0.0960000000000036, other = 0.338144999999955), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 52022.2310629094, AIC = 60641.4957337051, 
        BIC = 60699.5552142053, "Log-likelihood" = -30311.7478668526, 
        "Condition Number" = 8087.38773296156), row.names = "FOCEi", class = "data.frame"))