covariance_structure_of_correlated_random_effects_for_multiple_traits
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| covariance_structure_of_correlated_random_effects_for_multiple_traits [2018/03/29 18:40] – created andres | covariance_structure_of_correlated_random_effects_for_multiple_traits [2018/03/29 18:44] – andres | ||
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| For instance terminal crosses models (e.g. [[https:// | For instance terminal crosses models (e.g. [[https:// | ||
| - | * trait_pure: animal | + | * trait_pure: |
| - | * trait_crossbred : sire(crossbred) | + | * trait_crossbred : y = s + e (sire of crossbred) |
| Imagine that we have two such traits. Data file has " | Imagine that we have two such traits. Data file has " | ||
| + | < | ||
| ... | ... | ||
| 4 0 3084 cross | 4 0 3084 cross | ||
| Line 20: | Line 20: | ||
| ../ | ../ | ||
| (CO)VARIANCES | (CO)VARIANCES | ||
| + | 10 0 0 5 | ||
| + | 0 0 0 0 | ||
| + | 5 0 0 12 | ||
| + | </ | ||
| + | |||
| + | Where we have a 4x4 matrix for covariances. In fact | ||
| + | |||
| Effect 4 Effect 5 | Effect 4 Effect 5 | ||
| Trait 1 Trait2 Trait1 Trait2 | Trait 1 Trait2 Trait1 Trait2 | ||
| Line 26: | Line 33: | ||
| Effect 5 Trait 1 0 0 0 0 | Effect 5 Trait 1 0 0 0 0 | ||
| Trait2 Cov(s, | Trait2 Cov(s, | ||
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covariance_structure_of_correlated_random_effects_for_multiple_traits.txt · Last modified: 2024/03/25 18:22 by 127.0.0.1