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A search was made in the databases with the default chain and was limited to experiences or studies, understanding that these documents include the implementation data that are of interest in this review.
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In the circumstances of this study, the results suggest that default chained equations approaches based on generalized linear models are dominated by the default regression tree and Bayesian mixture model approaches.
One cold and three heated Markov chain Monte Carlo (MCMC) chains with default-chain temperatures were run for 20 million generations, sampling log-likelihoods (InLs), and trees at 100-generation intervals (20,000 InLs and trees were saved during MCMC).
One cold and three heated Markov chain Monte Carlo (MCMC) chains with default-chain temperatures were run for 106 generations, sampling log-likelihoods (InLs), and trees at 100-generation intervals (104 InLs and trees were saved during MCMC).
The default execution chain is depicted.
Default Markov chain parameters were used for both analyses.
Multiple imputation was performed by the MI and the MIANALYZE procedures with 20 imputed datasets and the default Markov Chain Monte Carlo (MCMC) imputation algorithm.
Using the software GENEPOP 4.0 (Raymond and Rousset, 1995; Rousset, 2010) tests for linkage disequilibrium were performed using the default Markov chain parameters.
Linkage disequilibrium between loci was calculated with genepop (with default Markov chain parameters) to count the number of locus pairs showing significant linkage disequilibrium across all populations.
Linkage disequilibrium was tested for each pair of loci across and within populations using the log likelihood ratio statistic and default Markov chain parameters in GENEPOP (Raymond and Rousset, 1995).
SSR loci were also tested for linkage disequilibrium for each pair of loci in each population using the genotypic linkage disequilibrium test with default Markov chain parameters in Genepop.
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CEO of Professional Science Editing for Scientists @ prosciediting.com