inst/models/values-1.1.1.3-U001_nlme-unix.R

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

expected_values[[runno]] <- list(lik = c(-12128.24, 24266.49, 24295.14), param = c(1.3641, 
4.2025, 0.19888), stdev_param = c(0.3028, 0.26721, 0.19888), 
    sigma = 0.19888, parFixedDf = structure(list(Estimate = c(lCl = 1.36411188659996, 
    lVc = 4.20248510719337, prop.err = 0.198876696568582), SE = c(lCl = 0.0247999725497584, 
    lVc = 0.0281578317454108, prop.err = NA), "%RSE" = c(1.81803067573673, 
    0.670028114964957, NA), "Back-transformed" = c(3.91224698967666, 
    66.8522598118911, 0.198876696568582), "CI Lower" = c(3.72663183936301, 
    63.2627552361983, NA), "CI Upper" = c(4.10710721315853, 70.6454315065832, 
    NA), "BSV(CV%)" = c(27.2046946987639, 30.9880337678785, NA
    ), "Shrink(SD)%" = c(1.15944260158242, 1.34857355967967, 
    NA)), class = "data.frame", row.names = c("lCl", "lVc", "prop.err"
    )), omega = structure(c(0.09169075, 0, 0, 0.07139888), .Dim = c(2L, 
    2L), .Dimnames = list(c("eta.Vc", "eta.Cl"), c("eta.Vc", 
    "eta.Cl"))), time = structure(list(nlme = 25.0630000000001, 
        setup = 4.67151800000047, table = 0.0789999999997235, 
        cwres = 4.76100000000042, other = 0.131481999997597), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = c(20073.4782409016, 20055.7900019391
    ), AIC = c(24266.4864440493, 24248.7982050868), BIC = c(24295.1373180255, 
    24277.449079063), "Log-likelihood" = c(-12128.2432220246, 
    -12119.3991025434), "Condition Number" = c(1.28912793280243, 
    1.28912793280243)), row.names = c("FOCEi", "nlme"), class = "data.frame"))