application_programs
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application_programs [2016/05/12 14:14] – dani | application_programs [2017/03/21 20:16] – shogo | ||
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The [[distribution|programs]] support mixed models with multiple-correlated effects, multiple animal models and dominance. | The [[distribution|programs]] support mixed models with multiple-correlated effects, multiple animal models and dominance. | ||
- | Download {{:blupf90_all4.pdf|BLUP90 | + | **Most** of the programs now support being called with the parameter file as an argument, e.g. < |
+ | |||
+ | Download {{:blupf90_all5.pdf|BLUPF90 family | ||
* [[readme.blupf90|BLUPF90]] - BLUP in memory | * [[readme.blupf90|BLUPF90]] - BLUP in memory | ||
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* [[readme.gibbs2|GIBBS2F90]] - as above but with joint sampling of correlated effects | * [[readme.gibbs2|GIBBS2F90]] - as above but with joint sampling of correlated effects | ||
* [[readme.gibbs3|GIBBS3F90]] - as above with support for heterogeneous residual variances | * [[readme.gibbs3|GIBBS3F90]] - as above with support for heterogeneous residual variances | ||
+ | * [[readme.gibbscen|GIBBS2CENF90]] - support censored data (J. Arango) | ||
+ | * [[readme.gibbsrecur|GIBBS1RECURF90]] - support recursive models (J. P. Sanchez) | ||
* [[readme.postgibbs|POSTGIBBSF90]] - statistics and graphics for post-Gibbs analysis (S. Tsuruta) | * [[readme.postgibbs|POSTGIBBSF90]] - statistics and graphics for post-Gibbs analysis (S. Tsuruta) | ||
* THRGIBBSF90 - Gibbs sampling for any combination of categorical and linear traits (D. Lee) | * THRGIBBSF90 - Gibbs sampling for any combination of categorical and linear traits (D. Lee) |
application_programs.txt · Last modified: 2024/06/19 14:22 by andres