inst/models/values-1.1.1.3-U009_focei-unix.R

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

expected_values[[runno]] <- list(lik = c(-12568.32, 25150.65, 25190.75), param = c(6.8336, 
5.4063, 4.1831, 0.19864), stdev_param = c(0.29831, 0.29617, 0.29707, 
NA), sigma = c(prop.err = 0.19864), parFixedDf = structure(list(
    Estimate = c(lVM = 6.83362167188923, lKM = 5.40625110917905, 
    lVc = 4.18313499739369, prop.err = 0.198640720537208), SE = c(lVM = 0.047455203977959, 
    lKM = 0.0754809976630279, lVc = 0.0279649503535729, prop.err = NA
    ), "%RSE" = c(0.694437097288698, 1.39618001714482, 0.668516564036221, 
    NA), "Back-transformed" = c(928.547625004435, 222.794786791848, 
    65.5710965440266, 0.198640720537208), "CI Lower" = c(846.077684646209, 
    192.156678333788, 62.0738435831318, NA), "CI Upper" = c(1019.05617834834, 
    258.317938528274, 69.2653854473808, NA), "BSV(CV%)" = c(30.2781308884662, 
    30.3741573093873, 30.5066639239144, NA), "Shrink(SD)%" = c(12.9655202822613, 
    43.9582912960731, 1.24306780601494, NA)), class = "data.frame", row.names = c("lVM", 
"lKM", "lVc", "prop.err")), omega = structure(c(0.0889862754385734, 
0, 0, 0, 0.0877146072576698, 0, 0, 0, 0.0882479767083489), .Dim = c(3L, 
3L), .Dimnames = list(c("eta.Vc", "eta.VM", "eta.KM"), c("eta.Vc", 
"eta.VM", "eta.KM"))), time = structure(list(setup = 5.36750399999999, 
    optimize = 2.302266, covariance = 2.302268, table = 0.0799999999999841, 
    other = 7.77496200000003), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 20957.3159527891, AIC = 25150.6484018039, 
        BIC = 25190.7534715241, "Log-likelihood" = -12568.324200902, 
        "Condition Number" = 9.53655568463257), row.names = "FOCEi", class = "data.frame"))