User Tools

Site Tools


readme.gibbs2

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Next revision
Previous revision
Next revisionBoth sides next revision
readme.gibbs2 [2012/05/28 14:09] – created shogoreadme.gibbs2 [2016/09/30 19:29] – [Running] andres
Line 1: Line 1:
-Ignacy Misztal, University of Georgia +====== GIBBS2F90 ======
-3/7/2001+
  
-Gibbs2f90 is a modification of gibbs1f90 to sample correlated effects +===== Summary ===== 
-jointly.  This modification results in better mixing for models with correlated effects +Ignacy Misztal, University of Georgia, 3/7/2001 
-such as maternal or random-regression models. Memory requirements and CPU time per +\\ 
-round are somewhat higher than in gibbs1f90.+Gibbs2f90 is a modification of gibbs1f90 to sample correlated effects jointly. This modification results in better mixing for models with correlated effects such as maternal or random-regression models. Memory requirements and CPU time per round are somewhat higher than in gibbs1f90
 +\\ 
 +See PREGSF90 with genotypes (SNP) for options.
  
 +===== Running =====
 +You can run as 
 +
 +<file>gibbs2f90 parameter_file --rounds 1000000 --burnin 10000 - -thin 10 --thinprint 10 </file>
 +
 +in which case you give the number of rounds, the burn-in, the storage of samples in the file ''gibbs_samples'', and the interval between printouts in the screen. Otherwise you can simply type ''gibbs1f90'' and you will be asked the parameter file and the questions below:
 +
 +
 +number of samples and length of burn-in?
 +
 +In the first run, if you have no idea about the number of samples and burn-in, just type your guess (10000 or whatever) for samples and (0) for burn-in. You may need 2 or 3 runs to figure out the convergence.
 +
 +Give n to store every n-th sample?
 +
 +Gibbs samples are usually highly correlated, so you do not have to keep all samples. Maybe every 10th,20th, 50th, ...
 +
 +To check the convergence and to calculate posterior means and SD, run postgibbsf90.
 +
 +<file>
 +OPTION fixed_var all 1 2 3
 +</file>
 +All solutions and posterior means and SD for effects for effects1, 2, and 3 are stored in "all_solutions" and in "final_solutions" every round using fixed variances. Without numbers, all solutions for all effects are stored.
 +<file>
 +OPTION fixed_var mean 1 2 3
 +</file>
 +Posterior means and SD for effects1, 2, and 3 in "final_solutions".
 +<file>
 +OPTION solution all 1 2 3
 +</file>
 +All solutions and posterior means and SD for effects1, 2, and 3 are stored in "all_solutions" and in "final_solutions" every round. Without numbers, all solutions for all effects are stored.
 +<file>
 +OPTION solution mean 1 2 3
 +</file>
 +Posterior means and SD for effects1, 2, and 3 in "final_solutions".
 +<file>
 +OPTION cont 10000
 +</file>
 +10000 is the number of samples run previously when restarting the program from the last run.
 +<file>
 +OPTION prior 5 2 -1 5 
 +</file>
 +The (co)variance  priors are specified in the parameter file.\\
 +Degree of belief for all random effects should be specified using the following structure:\\
 +OPTION prior eff1 db1    eff2 db2 ...    effn dbn    -1 dbres\\
 +effx correspond to the effect number and dbx to the degree of belief for this random effect, -1 corresponds to the degree of belief of the residual variance.\\
 +In this example 2 is the degree of belief for the 5th effect, and 5 is the degree of belief for the residual.\\
 +<file>
 +OPTION seed 123 321
 +</file>
 +Two seeds for a random number generator can be specified.
 +<file>
 +OPTION SNP_file snp
 +</file>
 +Specify the SNP file name to use genotype data.
readme.gibbs2.txt · Last modified: 2024/03/25 18:22 by 127.0.0.1

Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki