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Table 3 Summary of REML logl-likelihoods and minimum Akaike Information Criterion (AIC) for the range of genetic variance models fitted to the example data set

From: Estimation in a multiplicative mixed model involving a genetic relationship matrix

Model Structure of var(ug) Number of Log-likelihood AIC
  parameters Zero §   
1 - FA1 28 - 2366.4 1493
2 - FA2 41 - 2477.3 1297
3 - FA3 53 - 2504.7 1266
4 FA1 - 28 0 3051.1 124
5 FA2 - 41 0 3120.8 10
6 FA1 FA1 (9) 42 0 3115.1 24
7 FA2 FA1 (9) 55 1 3138.2 3
8 FA3 FA1 (9) 66 1 3150.9 0
9 FARR1 FA1 (9) 28 14 2525.3 1175
10 FARR2 FA1 (9) 41 14 2750.9 750
11 FARR3 FA1 (9) 53 14 2974.9 326
12 FARR4 FA1 (9) 64 14 3046.5 205
13 FARR5 FA1 (9) 74 14 3107.9 102
14 FARR6 FA1 (9) 83 14 3149.4 37
  1. † genetic variance matrix for additive effects
  2. ‡ genetic variance matrix for non-additive effects
  3. § specific variances in the FA model for additive effects
  4. ¶ difference between each model and the best model