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Posterior model parameter distributions were estimated using the Markov Chain Monte Carlo sampling code DREAMZS and a log-likelihood function assuming heteroscedastic, t-distributed residuals.
The approach has been implemented as a computational framework that integrates the GAMS modeling environment (Brooke et al., 1998), the HSS sampling code and a C++ program.
The computational implementation of the algorithm involves a framework that integrates the GAMS modeling environment, the HSS sampling code (FORTRAN) and a C++ program which generates appropriate LP problems for each SD iteration.
The modified Sampling code is available from M. Lascoux.
We thank BBSRC, Pfizer, the Australian Poultry CRC, R. Howey for supplying Bayesian sampling code and M. Chase-Topping for statistical advice.
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Sample code and tutorials are available, too.
Sample code is also given.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com