inst/models/values-1.1.1.3-U022_saem-unix.R

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

expected_values[[runno]] <- list(lik = c(-45851.12, 91716.24, 91764.17), param = c(6.9088, 
5.5035, 4.2536, 0.20359), stdev_param = c(0.30042, 0.26826, 0.27455, 
NA), sigma = c(prop.err = 0.20359), parFixedDf = structure(list(
    Estimate = c(lVM = 6.90884736461124, lKM = 5.50345760944656, 
    lVc = 4.25361416017156, prop.err = 0.203586572184147), SE = c(lVM = 0.0278715411243946, 
    lKM = 0.0397710426846582, lVc = 0.0277434992506991, prop.err = NA
    ), "%RSE" = c(0.403418105126469, 0.72265556504682, 0.652233564352722, 
    NA), "Back-transformed" = c(1001.09268217175, 245.539445741677, 
    70.3592429517359, 0.203586572184147), "CI Lower" = c(947.872640545562, 
    227.126651531971, 66.6355288043569, NA), "CI Upper" = c(1057.30086029385, 
    265.444935715276, 74.2910449960699, NA), "BSV(CV%)" = c(27.3162568883023, 
    27.9810993342891, 30.7331447659416, NA), "Shrink(SD)%" = c(7.95885389917277, 
    33.4660789338814, 0.61303230885108, NA)), class = "data.frame", row.names = c("lVM", 
"lKM", "lVc", "prop.err")), omega = structure(c(0.0902543467014993, 
0, 0, 0, 0.0719650532782765, 0, 0, 0, 0.0753803406310993), .Dim = c(3L, 
3L), .Dimnames = list(c("eta.Vc", "eta.VM", "eta.KM"), c("eta.Vc", 
"eta.VM", "eta.KM"))), time = structure(list(saem = 211.19, setup = 0.171002999999958, 
    table = 0.450000000000045, cwres = 0.639000000000124, covariance = 0.156999999999925, 
    other = 0.319996999999802), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 78919.8023264926, AIC = 91716.2373233696, 
        BIC = 91764.1678361001, "Log-likelihood" = -45851.1186616848, 
        "Condition Number" = 2.48772796017731), row.names = "FOCEi", class = "data.frame"))