inst/models/values-1.1.1.3-U003_focei-unix.R

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

expected_values[[runno]] <- list(lik = c(-12855.04, 25720.07, 25748.72), param = c(1.3623, 
4.1985, 0.19912), stdev_param = c(0.32238, 0.26771, NA), sigma = c(prop.err = 0.19912), 
    parFixedDf = structure(list(Estimate = c(lCl = 1.36233655256726, 
    lVc = 4.19853415546849, prop.err = 0.19912385527985), SE = c(lCl = 0.025025391967227, 
    lVc = 0.0302341951601627, prop.err = NA), "%RSE" = c(1.8369463786366, 
    0.720113116640562, NA), "Back-transformed" = c(3.90530760613606, 
    66.588650856715, 0.19912385527985), "CI Lower" = c(3.71837849795717, 
    62.75738258528, NA), "CI Upper" = c(4.10163395332754, 70.6538137866431, 
    NA), "BSV(CV%)" = c(27.2581530763969, 33.0945358135797, NA
    ), "Shrink(SD)%" = c(0.874556538887861, 2.13597511845024, 
    NA)), class = "data.frame", row.names = c("lCl", "lVc", "prop.err"
    )), omega = structure(c(0.103931842654858, 0, 0, 0.0716699298192867
    ), .Dim = c(2L, 2L), .Dimnames = list(c("eta.Vc", "eta.Cl"
    ), c("eta.Vc", "eta.Cl"))), time = structure(list(setup = 64.431986, 
        optimize = 2.743058, covariance = 2.74306, table = 0.134999999999991, 
        other = 6.90889600000001), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 21528.9030552435, AIC = 25720.0733813248, 
        BIC = 25748.7220579817, "Log-likelihood" = -12855.0366906624, 
        "Condition Number" = 1.64952145819249), row.names = "FOCEi", class = "data.frame"))