inst/models/values-1.1.1.3-U021_focei-unix.R

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

expected_values[[runno]] <- list(lik = c(-33242.35, 66498.7, 66543.86), param = c(7.1624, 
6.2862, 4.1851, 0.20857), stdev_param = c(0.29841, 0.20921, 0.82877, 
NA), sigma = c(prop.err = 0.20857), parFixedDf = structure(list(
    Estimate = c(lVM = 7.16239266842844, lKM = 6.28619475097551, 
    lVc = 4.18505103213254, prop.err = 0.208571850558541), SE = c(lVM = 0.0562072687963967, 
    lKM = 0.165843925157734, lVc = 0.0277287459793203, prop.err = NA
    ), "%RSE" = c(0.784755477651431, 2.63822442236613, 0.6625664959978, 
    NA), "Back-transformed" = c(1289.99377069886, 537.105614907176, 
    65.6968534817267, 0.208571850558541), "CI Lower" = c(1155.43069080212, 
    388.054824776501, 62.2216922332387, NA), "CI Upper" = c(1440.22825573953, 
    743.406403285838, 69.3661069393711, NA), "BSV(CV%)" = c(21.1516961636328, 
    99.3714843559614, 30.517499412807, NA), "Shrink(SD)%" = c(37.8571145356956, 
    28.2690829103715, 5.33616558512296, NA)), class = "data.frame", row.names = c("lVM", 
"lKM", "lVc", "prop.err")), omega = structure(c(0.0890467664660272, 
0, 0, 0, 0.0437675003131945, 0, 0, 0, 0.686862065695736), .Dim = c(3L, 
3L), .Dimnames = list(c("eta.Vc", "eta.VM", "eta.KM"), c("eta.Vc", 
"eta.VM", "eta.KM"))), time = structure(list(setup = 0.163900000000001, 
    optimize = 10.90606, covariance = 10.906061, table = 0.240000000000009, 
    other = 46.962979), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 57885.2732144532, AIC = 66498.7000081825, 
        BIC = 66543.8558860186, "Log-likelihood" = -33242.3500040913, 
        "Condition Number" = 38.4666210728481), row.names = "FOCEi", class = "data.frame"))