inst/models/values-1.1.1.3-U023_saem-unix.R

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

expected_values[[runno]] <- list(lik = c(-11776.08, 23566.17, 23606.27), param = c(1.3819, 
4.1888, -0.014245, 0.19819), stdev_param = c(0.25467, 0.27378, 
0.32535, NA), sigma = c(prop.err = 0.19819), parFixedDf = structure(list(
    Estimate = c(lCl = 1.38190148524831, lVc = 4.18875389940231, 
    lKA = -0.0142453382649174, prop.err = 0.198192296621262), 
    SE = c(lCl = 0.0237809417646215, lVc = 0.0259413265459492, 
    lKA = 0.0332146999227898, prop.err = NA), "%RSE" = c(1.72088546242125, 
    0.619308920241191, 233.161889911657, NA), "Back-transformed" = c(3.98246703477858, 
    65.9405711588442, 0.985855646476918, 0.198192296621262), 
    "CI Lower" = c(3.80110455122729, 62.6716901966237, 0.923721228267192, 
    NA), "CI Upper" = c(4.17248288473867, 69.3799530715201, 1.05216955716567, 
    NA), "BSV(CV%)" = c(25.8851653415748, 27.8995057809668, 33.4153389538262, 
    NA), "Shrink(SD)%" = c(1.47317574412953, 2.73451697881617, 
    10.3164750399653, NA)), class = "data.frame", row.names = c("lCl", 
"lVc", "lKA", "prop.err")), omega = structure(c(0.0648548884094802, 
0, 0, 0, 0.0749574076861066, 0, 0, 0, 0.105853033317008), .Dim = c(3L, 
3L), .Dimnames = list(c("eta.Cl", "eta.Vc", "eta.KA"), c("eta.Cl", 
"eta.Vc", "eta.KA"))), time = structure(list(saem = 100.833, 
    setup = 5.4945660000001, table = 0.0899999999999181, cwres = 5.60099999999989, 
    covariance = 0.0650000000000546, other = 0.300433999999967), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 19374.6711240314, AIC = 23566.1656959798, 
        BIC = 23606.2676867468, "Log-likelihood" = -11776.0828479899, 
        "Condition Number" = 1.99795200484649), row.names = "FOCEi", class = "data.frame"))