inst/models/values-1.1.1.3-U026_solve_saem-unix.R

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

expected_values[[runno]] <- list(lik = c(-37489.6, 74993.2, 75041.12), param = c(1.3878, 
4.2026, 0.0039645, 0.19794), stdev_param = c(0.26071, 0.27973, 
0.33207, NA), sigma = c(prop.err = 0.19794), parFixedDf = structure(list(
    Estimate = c(lCl = 1.38778592803091, lVc = 4.20263958959361, 
    lKA = 0.00396453250515132, prop.err = 0.197935137877914), 
    SE = c(lCl = 0.0239672106062838, lVc = 0.0259550783198162, 
    lKA = 0.032563408586398, prop.err = NA), "%RSE" = c(1.72701063774946, 
    0.617589916206115, 821.368182606315, NA), "Back-transformed" = c(4.00597071940085, 
    66.8625881071978, 1.00397240165988, 0.197935137877914), "CI Lower" = c(3.82214222925943, 
    63.5462870875771, 0.941897731545196, NA), "CI Upper" = c(4.19864056388251, 
    70.351957498816, 1.07013803042198, NA), "BSV(CV%)" = c(26.5206723730455, 
    28.5295247478881, 34.1438512442314, NA), "Shrink(SD)%" = c(0.294325280731633, 
    0.926856935754783, 5.63395033249009, NA)), class = "data.frame", row.names = c("lCl", 
"lVc", "lKA", "prop.err")), omega = structure(c(0.067971315767593, 
0, 0, 0, 0.0782503746198842, 0, 0, 0, 0.1102706730812), .Dim = c(3L, 
3L), .Dimnames = list(c("eta.Cl", "eta.Vc", "eta.KA"), c("eta.Cl", 
"eta.Vc", "eta.KA"))), time = structure(list(saem = 65.9600000000002, 
    setup = 0.292940000000082, table = 0.514999999999986, cwres = 0.86099999999999, 
    covariance = 0.138999999999896, other = 0.361059999999853), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 62211.4655465961, AIC = 74993.1975269418, 
        BIC = 75041.1199832767, "Log-likelihood" = -37489.5987634709, 
        "Condition Number" = 1.85710680404707), row.names = "FOCEi", class = "data.frame"))