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Table 2 Optimization using NPML approach

From: Modeling of atrophy size trajectories: variable transformation, prediction and age-of-onset estimation

K loglik λopt AICbm
1.00 -1593.02 0.35 3192.04
2.00 -1402.21 0.35 2814.41
3.00 -1310.29 0.45 2634.57
4.00 -1230.15 0.40 2478.30
5.00 -1164.85 0.40 2351.70
6.00 -1142.70 0.35 2311.39
7.00 -1127.57 0.35 2285.14
8.00 -1107.63 0.45 2249.26
9.00 -1102.10 0.45 2242.19
10.00 -1096.30 0.45 2234.60
  1. The table presents the optimal values of the transformation parameter λ that were obtained from fitting Model (2) with the boxcoxmix package [21] using the analysis data set. In addition, the respective log-likelihood and AICbm values (evaluated at the optimal λ values) are shown for varying numbers of mass points K. Following [21], the information criterion was defined as AICbm=−2 log(L)+2·(p+2K). Hence the AIC values in the fourth column cannot be directly compared to the AIC values presented in Fig. 2