abi
New Member
Posts: 1
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Post by abi on Apr 18, 2017 4:13:01 GMT
Hi I am new to GCTA. I am getting the following error constantly
Error: Log-likelihood not converged (stop after 100 iteractions).
You can specify the option --reml-maxit to allow for more iterations.
However when i use --reml-maxit 1000 it doesnot show any output:
Analysis started: Mon Apr 17 23:10:12 2017
Options:
--reml-maxit 1000
--grm /home/agr75/data/analysis/2016_Shoepeg/Genotypes/Heritability_MAF/2016_shoepeg_MAF_10
--pheno 2016_PlantHt_phenos.phen.txt
--out /home/agr75/data/analysis/2016_Shoepeg/Genotypes/Heritability_MAF/2016_shoepeg_MAF_10_PlantHt
Analysis finished: Mon Apr 17 23:10:12 2017
Computational time: 0:0:0
I am getting this error only for one particular phenotype (other phenotype ran perfectly).
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jxb
New Member
Posts: 1
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Post by jxb on Jun 30, 2021 21:54:11 GMT
Hi, I wonder if you have any solution for this issue. I also go into the same issue "Log-likelihood not converged (stop after 100 iteractions)". Do you know what I need to do if I want it to output a hsq file no matter it converges or not?
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Post by redrice on Aug 25, 2021 17:53:00 GMT
I have the same issue with a binary trait. In the .log file, I can see the log-likelihood became fairly stable after iteration# 16. After that, it jumps among a few values differ only by 2 (the log-likelihood itself is more than 40000). I wonder if there is a way to set the converge threshold so I can force it to converge. I really need the .hsq output file because, though I can find the variance explained by each components in the .log file, and I can calculate the heritability from that, it seems no simple way to do the transformation to the underlying scale if a prevalence is given.
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Post by redrice on Aug 30, 2021 19:03:11 GMT
An update: I tried to use --reml-no-constrain, and it did converge. Some components variances are negative, though usually small. Not sure how to compare this with the results I obtained without the option in other (related) traits.
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