ARGATROBAN PK DATA ML fit with estimation of theta **Iteration 1 LME step: Loglik: -2911.289 , nlm iterations: 34 reStruct parameters: indiv1 indiv2 indiv3 5.868500 6.083282 -548.297866 varStruct parameters: power 0.07704409 PNLS step: RSS = 1339347 fixed effects:-5.43331 -1.98126 iterations: 7 Convergence: fixed reStruct varStruct 0.1042991 13.6429449 5.4897905 **Iteration 2 LME step: Loglik: -2865.409 , nlm iterations: 25 reStruct parameters: indiv1 indiv2 indiv3 4.270221 5.964866 -61.487347 varStruct parameters: power 0.2029238 PNLS step: RSS = 325751.6 fixed effects:-5.43269 -1.92542 iterations: 6 Convergence: fixed reStruct varStruct 0.02899958 1.76831917 0.62033002 **Iteration 3 LME step: Loglik: -2862.572 , nlm iterations: 11 reStruct parameters: indiv1 indiv2 indiv3 4.074090 5.758618 -89.603591 varStruct parameters: power 0.2385338 PNLS step: RSS = 210084.3 fixed effects:-5.43257 -1.91873 iterations: 4 Convergence: fixed reStruct varStruct 0.003485758 0.057633632 0.149286759 **Iteration 4 LME step: Loglik: -2862.257 , nlm iterations: 6 reStruct parameters: indiv1 indiv2 indiv3 4.047004 5.717158 -84.722059 varStruct parameters: power 0.2427381 PNLS step: RSS = 199416.2 fixed effects:-5.43255 -1.91813 iterations: 2 Convergence: fixed reStruct varStruct 0.0003164304 0.0062071673 0.0173203627 **Iteration 5 LME step: Loglik: -2862.221 , nlm iterations: 7 reStruct parameters: indiv1 indiv2 indiv3 4.044165 5.712790 -84.199422 varStruct parameters: power 0.2431754 PNLS step: RSS = 198334.8 fixed effects:-5.43255 -1.91795 iterations: 2 Convergence: fixed reStruct varStruct 0.0000910878 0.0010075849 0.0017982779 **Iteration 6 LME step: Loglik: -2862.212 , nlm iterations: 4 reStruct parameters: indiv1 indiv2 indiv3 4.044138 5.712324 -84.114745 varStruct parameters: power 0.2432005 PNLS step: RSS = 198260.1 fixed effects:-5.43255 -1.91795 iterations: 1 Convergence: fixed reStruct varStruct 0.0000000000 0.0004478655 0.0001034273 **Iteration 7 LME step: Loglik: -2862.212 , nlm iterations: 7 reStruct parameters: indiv1 indiv2 indiv3 4.043925 5.712194 -84.077090 varStruct parameters: power 0.2432239 PNLS step: RSS = 198205.8 fixed effects:-5.43255 -1.91795 iterations: 1 Convergence: fixed reStruct varStruct 0.000000e+00 3.126598e-05 9.626624e-05 **Iteration 8 LME step: Loglik: -2862.212 , nlm iterations: 9 reStruct parameters: indiv1 indiv2 indiv3 4.043798 5.712062 -84.079602 varStruct parameters: power 0.2432412 PNLS step: RSS = 198165.8 fixed effects:-5.43255 -1.91795 iterations: 1 Convergence: fixed reStruct varStruct 0.000000e+00 2.305688e-05 7.092974e-05 **Iteration 9 LME step: Loglik: -2862.212 , nlm iterations: 9 reStruct parameters: indiv1 indiv2 indiv3 4.043705 5.711955 -84.080817 varStruct parameters: power 0.2432541 PNLS step: RSS = 198135.9 fixed effects:-5.43255 -1.91795 iterations: 1 Convergence: fixed reStruct varStruct 0.000000e+00 1.727592e-05 5.299145e-05 **Iteration 10 LME step: Loglik: -2862.212 , nlm iterations: 5 reStruct parameters: indiv1 indiv2 indiv3 4.043478 5.711703 -84.081229 varStruct parameters: power 0.2432857 PNLS step: RSS = 198062.7 fixed effects:-5.43255 -1.91795 iterations: 1 Convergence: fixed reStruct varStruct 0.000000e+00 4.225415e-05 1.297261e-04 **Iteration 11 LME step: Loglik: -2862.212 , nlm iterations: 2 reStruct parameters: indiv1 indiv2 indiv3 4.043463 5.711668 -84.082725 varStruct parameters: power 0.2432873 PNLS step: RSS = 198058.8 fixed effects:-5.43255 -1.91795 iterations: 1 Convergence: fixed reStruct varStruct 0.000000e+00 1.308211e-05 6.771862e-06 **Iteration 12 LME step: Loglik: -2862.212 , nlm iterations: 2 reStruct parameters: indiv1 indiv2 indiv3 4.043454 5.711647 -84.081625 varStruct parameters: power 0.2432885 PNLS step: RSS = 198055.9 fixed effects:-5.43255 -1.91795 iterations: 1 Convergence: fixed reStruct varStruct 0.000000e+00 7.524887e-06 5.036608e-06 Nonlinear mixed-effects model fit by maximum likelihood Model: ys ~ meanfunc(xs, b1, b2, ds) Data: sdat AIC BIC logLik 5738.425 5767.568 -2862.212 Random effects: Formula: list(b1 ~ 1, b2 ~ 1) Level: indiv Structure: General positive-definite, Log-Cholesky parametrization StdDev Corr b1 0.37168388 b1 b2 0.06753306 0.268 Residual 20.41959281 Variance function: Structure: Power of variance covariate Formula: ~fitted(.) Parameter estimates: power 0.2432885 Fixed effects: list(b1 ~ 1, b2 ~ 1) Value Std.Error DF t-value p-value b1 -5.432545 0.06230331 437 -87.19513 0 b2 -1.917953 0.02513017 437 -76.32073 0 Correlation: b1 b2 0.156 Standardized Within-Group Residuals: Min Q1 Med Q3 Max -2.48366029 -0.42424578 0.03283586 0.57935560 9.38411265 Number of Observations: 475 Number of Groups: 37 Estimate of sigma 20.41959