swap(varcov, invars, rparm, nreps, ana.obj, ...)
make.varcov
ana.obj$reg.names
telling which
variables to start in the model. The first of these is immediately
removed, so it is merely a placeholder. The number of genes in the
model is therefore k <
nrow(varcov$var.x)
elements;
the 'ridge' parameters for the independent variables - larger values
imply more shrinkage or a more concentrated prior for the regresion
coefficients.k
samples each) to perform.analysis.object
--- see make.analysis.objlocs
), prior for locus (locs.prior
),
or method specified by ana.obj
. Also, the default prior for
model (combo.prior
when <