inst/models/values-1.1.1.3-U004_focei-unix.R

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

expected_values[[runno]] <- list(lik = c(-38527.4, 77064.8, 77099.04), param = c(1.3623, 
4.2023, 0.20293), stdev_param = c(0.30957, 0.26861, NA), sigma = c(prop.err = 0.20293), 
    parFixedDf = structure(list(Estimate = c(lCl = 1.36229783514538, 
    lVc = 4.20228684930362, prop.err = 0.202934305099942), SE = c(lCl = 0.0250621349982322, 
    lVc = 0.028449278853994, prop.err = NA), "%RSE" = c(1.83969572230566, 
    0.676995166541485, NA), "Back-transformed" = c(3.90515640562098, 
    66.8390071377028, 0.202934305099942), "CI Lower" = c(3.71796677563167, 
    63.2140942998844, NA), "CI Upper" = c(4.10177053014994, 70.6717849022802, 
    NA), "BSV(CV%)" = c(27.3527836435857, 31.713811543199, NA
    ), "Shrink(SD)%" = c(-0.354333816336805, 0.471414016869032, 
    NA)), class = "data.frame", row.names = c("lCl", "lVc", "prop.err"
    )), omega = structure(c(0.09583420998539, 0, 0, 0.0721508586106913
    ), .Dim = c(2L, 2L), .Dimnames = list(c("eta.Vc", "eta.Cl"
    ), c("eta.Vc", "eta.Cl"))), time = structure(list(setup = 0.171555000000006, 
        optimize = 4.957578, covariance = 4.95758, table = 0.399000000000001, 
        other = 14.139287), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 64279.719344819, AIC = 77064.8028334303, 
        BIC = 77099.0360374958, "Log-likelihood" = -38527.4014167152, 
        "Condition Number" = 1.395651647362), row.names = "FOCEi", class = "data.frame"))