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application_programs [2016/09/30 19:33] andresapplication_programs [2018/03/06 21:10] 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.
  
-**Most** of the programs now support being called with the parameter file as an argument, e.g. <file> blupf90 renf90.par </file>. This avoids typing the name of the file in interactive or doing the trick <file> echo renf90.par | blupf90.par </file>.+**Most** of the programs now support being called with the parameter file as an argument, e.g. <file> blupf90 renf90.par </file>. This avoids typing the name of the file in interactive or doing the trick <file> echo renf90.par | blupf90 </file>.
  
-Download {{:blupf90_all4.pdf|BLUPF90 family manual}}. Note that some programs repertoried below are not in the manual (e.g. ''inbupgf90'')+Download {{:blupf90_all5.pdf|BLUPF90 family manual}}. Note that some programs repertoried below are not in the manual (e.g. ''inbupgf90'')
  
    * [[readme.blupf90|BLUPF90]] - BLUP in memory    * [[readme.blupf90|BLUPF90]] - BLUP in memory
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    * QXPAK - joint analysis of QTL and polygenic effects (M. Perez-Enciso) [[http://www.icrea.cat/Web/OtherSectionViewer.aspx?key=485&titol=Software:Qxpak | QxPak web page]]    * QXPAK - joint analysis of QTL and polygenic effects (M. Perez-Enciso) [[http://www.icrea.cat/Web/OtherSectionViewer.aspx?key=485&titol=Software:Qxpak | QxPak web page]]
   * [[readme.aireml|AIREMLF90]] - Average Information REML with several options including EM-REML and heterogeneous residual variances (S. Tsuruta)   * [[readme.aireml|AIREMLF90]] - Average Information REML with several options including EM-REML and heterogeneous residual variances (S. Tsuruta)
-  * CBLUP90  - solutions for bivariate linear-threshold models+  * CBLUP90  - solutions for bivariate linear-threshold models (works only for 2 trait model: threshold and linear)
   * CBLUP90THR - as above but with thresholds computed and many linear traits (B. Auvray)   * CBLUP90THR - as above but with thresholds computed and many linear traits (B. Auvray)
   * CBLUP90REML - as above but with quasi REML (B. Auvray)   * CBLUP90REML - as above but with quasi REML (B. Auvray)
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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|GIBBS2CEN]] - support censored data (J. Arango)
 +  * [[readme.gibbsrecur|GIBBS2RECUR]] - 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)
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 Available only under research agreement Available only under research agreement
   * [[readme.pcg2|BLUP90IOD2]] - BLUP by iteration on data with PCG for very large models (S. Tsuruta)   * [[readme.pcg2|BLUP90IOD2]] - BLUP by iteration on data with PCG for very large models (S. Tsuruta)
-  * [[readme.thr1pcg|CBLUP90IOD]] - BLUP by iteration on data for threshold-linear models+  * [[readme.thr1pcg|CBLUP90IOD]] - BLUP by iteration on data for threshold-linear models (works for one threshold and several linear traits)
   * [[readme.acc|ACCF90]] - approximation of accuracies for breeding values   * [[readme.acc|ACCF90]] - approximation of accuracies for breeding values
   * BLUP90MBE - BLUP by iteration on data with support for very large models for multi-breed evaluations   * BLUP90MBE - BLUP by iteration on data with support for very large models for multi-breed evaluations
application_programs.txt · Last modified: 2024/06/19 14:22 by andres

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