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, gs
, 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, vs
, 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