inst/models/values-1.1.1.3-U022_focei-unix.R

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

expected_values[[runno]] <- list(lik = c(-45847.02, 91708.05, 91755.98), param = c(6.9077, 
5.4991, 4.2541, 0.20386), stdev_param = c(0.30322, 0.26556, 0.28547, 
NA), sigma = c(prop.err = 0.20386), parFixedDf = structure(list(
    Estimate = c(lVM = 6.90765741676393, lKM = 5.49905476071825, 
    lVc = 4.25410799915009, prop.err = 0.203859007453857), SE = c(lVM = 0.0280449340045015, 
    lKM = 0.0395468912483563, lVc = 0.0279450521562159, prop.err = NA
    ), "%RSE" = c(0.405997754556275, 0.719157982038189, 0.656895691453976, 
    NA), "Back-transformed" = c(999.902142570143, 244.460749116825, 
    70.3939976693162, 0.203859007453857), "CI Lower" = c(946.423701467195, 
    226.228212176592, 66.6421128892964, NA), "CI Upper" = c(1056.4024264887, 
    264.162711112752, 74.3571098368279, NA), "BSV(CV%)" = c(27.0312200586268, 
    29.1384068782726, 31.0320862050369, NA), "Shrink(SD)%" = c(8.77160114872446, 
    32.9649804020973, 1.23375836576955, NA)), class = "data.frame", row.names = c("lVM", 
"lKM", "lVc", "prop.err")), omega = structure(c(0.0919399956752446, 
0, 0, 0, 0.0705224744477209, 0, 0, 0, 0.0814921264879875), .Dim = c(3L, 
3L), .Dimnames = list(c("eta.Vc", "eta.VM", "eta.KM"), c("eta.Vc", 
"eta.VM", "eta.KM"))), time = structure(list(setup = 0.270255, 
    optimize = 12.007509, covariance = 12.007511, table = 0.462999999999965, 
    other = 26.550725), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 78911.611155504, AIC = 91708.046152381, 
        BIC = 91755.9766651115, "Log-likelihood" = -45847.0230761905, 
        "Condition Number" = 2.39740866155281), row.names = "FOCEi", class = "data.frame"))