readme.reml
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readme.reml [2012/05/29 14:49] – [Does remlf90 always converge?] ignacio | readme.reml [2012/05/29 16:02] – shogo | ||
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OPTION conv_crit1d-12 | OPTION conv_crit1d-12 | ||
</ | </ | ||
- | Convergence | + | convergence |
< | < | ||
OPTION maxrounds500 | OPTION maxrounds500 | ||
</ | </ | ||
- | Maximum | + | maximum |
< | < | ||
OPTION constant_var 5 1 2 | OPTION constant_var 5 1 2 | ||
</ | </ | ||
- | | + | 5: effect number\\ |
- | 1: first trait number | + | 1: first trait number\\ |
- | 2: and the second trait number | + | 2: and the second trait number\\ |
- | implying the covariance between traits 1 and 2 for effect 5. | + | implying the covariance between traits 1 and 2 for effect 5. |
< | < | ||
OPTION SNP_file snp | OPTION SNP_file snp | ||
</ | </ | ||
- | Specify | + | specify |
===== Does remlf90 always converge? ===== | ===== Does remlf90 always converge? ===== | ||
- | |||
Even when there is no variance, remlf90 will estimate a positive variance (in the parameter space), which will be determined by the starting value. If you are not sure if there is any variance, use a small starting value like 0.1 or 0.01. If the estimate does not change, probably there is no variance, so check your parameter file, model, and/or data again. If airemlf90 does not converge but remlf90 converges with the same dataset, rerun remlf90 with a small starting value. The estimate could be artifact. | Even when there is no variance, remlf90 will estimate a positive variance (in the parameter space), which will be determined by the starting value. If you are not sure if there is any variance, use a small starting value like 0.1 or 0.01. If the estimate does not change, probably there is no variance, so check your parameter file, model, and/or data again. If airemlf90 does not converge but remlf90 converges with the same dataset, rerun remlf90 with a small starting value. The estimate could be artifact. | ||
readme.reml.txt · Last modified: 2024/03/25 18:22 by 127.0.0.1