inst/models/values-1.1.1.3-U013_focei-unix.R

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

expected_values[[runno]] <- list(lik = c(-26406.04, 52822.08, 52854.34), param = c(1.386, 
4.2659, 0.19998), stdev_param = c(0.29756, 0.28233, NA), sigma = c(prop.err = 0.19998), 
    parFixedDf = structure(list(Estimate = c(lCl = 1.38604968752608, 
    lVc = 4.26594276265832, prop.err = 0.199975231600216), SE = c(lCl = 0.0261929032117217, 
    lVc = 0.0276023274291072, prop.err = NA), "%RSE" = c(1.88975210971496, 
    0.64703932904873, NA), "Back-transformed" = c(3.99902142534534, 
    71.2320432382102, 0.199975231600216), "CI Lower" = c(3.79890375877799, 
    67.4808055358375, NA), "CI Upper" = c(4.20968083843096, 75.1918111172451, 
    NA), "BSV(CV%)" = c(28.8054003129854, 30.4268523753653, NA
    ), "Shrink(SD)%" = c(0.291610197509617, 1.60427349689212, 
    NA)), class = "data.frame", row.names = c("lCl", "lVc", "prop.err"
    )), omega = structure(c(0.0885412627856225, 0, 0, 0.0797119841158833
    ), .Dim = c(2L, 2L), .Dimnames = list(c("eta.Vc", "eta.Cl"
    ), c("eta.Vc", "eta.Cl"))), time = structure(list(setup = 0.167234000000015, 
        optimize = 5.351554, covariance = 5.351555, table = 0.216000000000008, 
        other = 11.951657), class = "data.frame", row.names = "elapsed"), 
    objDf = structure(list(OBJF = 44216.3324694038, AIC = 52822.0835090003, 
        BIC = 52854.3355697889, "Log-likelihood" = -26406.0417545001, 
        "Condition Number" = 1.2309023205805), row.names = "FOCEi", class = "data.frame"))