inst/models/values-1.1.1.3-U004_nlme-unix.R

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

expected_values[[runno]] <- list(lik = c(-38537.88, 77085.75, 77119.99), param = c(1.3613, 
4.2008, 0.20304), stdev_param = c(0.30991, 0.26971, 0.20304), 
    sigma = 0.20304, parFixedDf = structure(list(Estimate = c(lCl = 1.36126410815359, 
    lVc = 4.20080213079947, prop.err = 0.203035055830121), SE = c(lCl = 0.0247510454911196, 
    lVc = 0.0285266377593399, prop.err = NA), "%RSE" = c(1.81823977748828, 
    0.679075968615329, NA), "Back-transformed" = c(3.90112162582699, 
    66.7398436601473, 0.203035055830121), "CI Lower" = c(3.71639068160792, 
    63.1107391861988, NA), "CI Upper" = c(4.09503500662921, 70.5776352680552, 
    NA), "BSV(CV%)" = c(27.4692481644103, 31.7504947754946, NA
    ), "Shrink(SD)%" = c(0.0887337889650119, 0.391260572620766, 
    NA)), class = "data.frame", row.names = c("lCl", "lVc", "prop.err"
    )), omega = structure(c(0.09604572, 0, 0, 0.07274472), .Dim = c(2L, 
    2L), .Dimnames = list(c("eta.Vc", "eta.Cl"), c("eta.Vc", 
    "eta.Cl"))), time = structure(list(nlme = 35.9840000000004, 
        setup = 0.189199999998443, table = 0.434999999999491, 
        cwres = 0.65099999999984, other = 0.159800000001717), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = c(64300.6708103861, 64281.8965424783
    ), AIC = c(77085.7542989975, 77066.9800310897), BIC = c(77119.987503063, 
    77101.2132351552), "Log-likelihood" = c(-38537.8771494987, 
    -38528.4900155448), "Condition Number" = c(1.32835476483897, 
    1.32835476483897)), row.names = c("FOCEi", "nlme"), class = "data.frame"))