| BAMD-package {BAMD} | R Documentation |
This package fits the following linear mixed model
Y = X β + Z gamma + ε
where the covariates for the random effects (in the Z-matrix) have missing values. The Z-matrix consists of Single Nucelotide Polymorphism (SNP) data and the Y-vector contains the phenotypic trait of interest. The X-matrix typically describes the family structure of the organisms.
| Package: | BAMD |
| Type: | Package |
| Version: | 1.2 |
| Date: | 2009-04-20 |
| License: | GPL-2 |
| LazyLoad: | yes |
There are two functions in this package. The first, gibbsSampler, will fit and
estimate the posterior parameters in the model above. This will allow the
experimenter to pick out which covariates were significantly non-zero, since
the routine will return (1-α)100% confidence intervals. The imputed
missing values at each iteration of the Gibbs sampler will be stored in a file for
use by the second function.
The second function, variableSelector, is a variable selector that will pick out the ``best''
model, as measured by the Bayes Factor, using a stochastic search algorithm.
Vik Gopal viknesh@stat.ufl.edu
Maintainer: Vik Gopal <viknesh@stat.ufl.edu>
Gopal, V. "BAMD User Manual" http://www.stat.ufl.edu/~viknesh/assoc_model/assoc.html
gibbsSampler, variableSelector