inst/models/values-1.1.1.3-U026_focei-unix.R

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

expected_values[[runno]] <- list(lik = c(-37486.81, 74987.63, 75035.55), param = c(1.39, 
4.2027, -0.00073165, 0.19805), stdev_param = c(0.25974, 0.28031, 
0.33291, NA), sigma = c(prop.err = 0.19805), parFixedDf = structure(list(
    Estimate = c(lCl = 1.39003450140363, lVc = 4.20266005601877, 
    lKA = -0.000731645526602376, prop.err = 0.198052730422482
    ), SE = c(lCl = 0.0244267330960881, lVc = 0.026443709681839, 
    lKA = 0.0322379218430383, prop.err = NA), "%RSE" = c(1.75727531017556, 
    0.629213624927101, 4406.2214106256, NA), "Back-transformed" = c(4.01498857334597, 
    66.8639565593567, 0.999268622060722, 0.198052730422482), 
    "CI Lower" = c(3.82729766733797, 63.4867572829612, 0.938083034216091, 
    NA), "CI Upper" = c(4.21188385258544, 70.4208070802102, 1.06444498260174, 
    NA), "BSV(CV%)" = c(26.4187446881828, 28.5902842858881, 34.2346640320789, 
    NA), "Shrink(SD)%" = c(-0.063457015002788, 1.56768937112222, 
    6.17494331224736, NA)), class = "data.frame", row.names = c("lCl", 
"lVc", "lKA", "prop.err")), omega = structure(c(0.0674670479606729, 
0, 0, 0, 0.0785712584427156, 0, 0, 0, 0.110826649018587), .Dim = c(3L, 
3L), .Dimnames = list(c("eta.Cl", "eta.Vc", "eta.KA"), c("eta.Cl", 
"eta.Vc", "eta.KA"))), time = structure(list(setup = 0.17393700000002, 
    optimize = 104.239485, covariance = 104.239486, table = 0.529999999999973, 
    other = 267.933092), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 62205.8945017642, AIC = 74987.6264821099, 
        BIC = 75035.5489384448, "Log-likelihood" = -37486.813241055, 
        "Condition Number" = 1.76349768436601), row.names = "FOCEi", class = "data.frame"))