inst/models/values-1.1.1.3-U055_focei-unix.R

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

expected_values[[runno]] <- list(lik = c(-31630.83, 63283.67, 63354.63), param = c(7.2065, 
6.5366, 4.2863, 0.44897, 3.8581, 0.20199), stdev_param = c(0.22456, 
0.70711, 0.27955, 0.48505, 0.37565, NA), sigma = c(prop.err = 0.20199), 
    parFixedDf = structure(list(Estimate = c(lVM = 7.20650656789906, 
    lKM = 6.53664524811214, lVc = 4.2863285062463, lQ = 0.448968723137457, 
    lVp = 3.85811162566668, prop.err = 0.201994792777332), SE = c(lVM = 0.0883590108591869, 
    lKM = 0.162004278681554, lVc = 0.0309469862887112, lQ = 0.103898696075835, 
    lVp = 0.0729918113584306, prop.err = NA), "%RSE" = c(1.22610046943934, 
    2.47840096153823, 0.721992872072531, 23.1416334193118, 1.89190511940715, 
    NA), "Back-transformed" = c(1348.17427588798, 689.968019600518, 
    72.6990637541147, 1.56669565510849, 47.3758035940768, 0.201994792777332
    ), "CI Lower" = c(1133.79545008704, 502.262402141985, 68.4205711821852, 
    1.27804430242419, 41.0606525572725, NA), "CI Upper" = c(1603.08799795108, 
    947.823022470402, 77.2451001125367, 1.92054005567731, 54.6622283475378, 
    NA), "BSV(CV%)" = c(22.7419909833078, 80.5430104082895, 28.5101734558154, 
    51.5023158431479, 38.9295039109108, NA), "Shrink(SD)%" = c(50.6714335892135, 
    25.1030944870893, 8.25288300281167, 45.1857764654633, 37.4551414611059, 
    NA)), class = "data.frame", row.names = c("lVM", "lKM", "lVc", 
    "lQ", "lVp", "prop.err")), omega = structure(c(0.0504267436599565, 
    0, 0, 0, 0, 0, 0.499997805486482, 0, 0, 0, 0, 0, 0.0781482981490606, 
    0, 0, 0, 0, 0, 0.23526882514107, 0, 0, 0, 0, 0, 0.141109405855708
    ), .Dim = c(5L, 5L), .Dimnames = list(c("eta.VM", "eta.KM", 
    "eta.Vc", "eta.Q", "eta.Vp"), c("eta.VM", "eta.KM", "eta.Vc", 
    "eta.Q", "eta.Vp"))), time = structure(list(setup = 0.167819000000247, 
        optimize = 108.19808, covariance = 108.198082, table = 0.302999999999884, 
        other = 673.687019), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 54660.4036514993, AIC = 63283.668322295, 
        BIC = 63354.629909573, "Log-likelihood" = -31630.8341611475, 
        "Condition Number" = 50.8081520633409), row.names = "FOCEi", class = "data.frame"))