readme.reml
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| readme.reml [2014/01/22 19:53] – shogo | readme.reml [2014/04/25 17:08] – shogo | ||
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| Maximum rounds (default 5000). | Maximum rounds (default 5000). | ||
| + | < | ||
| + | OPTION sol se | ||
| + | </ | ||
| + | Store solutions and se. | ||
| + | < | ||
| + | OPTION residual | ||
| + | </ | ||
| + | y-hat and residuals will be included in " | ||
| + | < | ||
| + | OPTION missing -999 | ||
| + | </ | ||
| + | Specify missing observations (default 0). | ||
| < | < | ||
| OPTION use_yams | OPTION use_yams | ||
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| ===== Does remlf90 always converge? ===== | ===== Does remlf90 always converge? ===== | ||
| Even when there is no variance, remlf90 will estimate a positive variance (within 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 such as 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 data set and the same model, rerun remlf90 with a small starting value because the estimate could be artifact. | Even when there is no variance, remlf90 will estimate a positive variance (within 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 such as 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 data set and the same model, rerun remlf90 with a small starting value because the estimate could be artifact. | ||
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readme.reml.txt · Last modified: 2024/03/25 18:22 by 127.0.0.1