recalc.bicprobs {BayesQTLBIC} | R Documentation |
Posterior probabilities for models, marginal probabilities
for model sizes, and marginal probabilities for markers are
re-calculated for new values of delta
and/or prior
probabilities
recalc.bicprobs(obj, old.delta = attr(obj, "delta"), delta = 1, n = obj$n, old.prior = attr(obj, "prior"), prior = 0.5, p.sg = 1)
obj |
object of class bicreg.qtl |
old.delta |
value of delta previously used to calculate
obj |
delta |
value of delta for which probabilities are
desired |
n |
sample size used in the BIC calculation (equivalent to sample size before multiple imputations) |
old.prior |
(scalar) value of prior probability per marker used to
calculate obj |
prior |
(scalar) value of prior probability per marker for which probabilities are desired |
p.sg |
proportion sampled in tails if selectively genotyping the population |
Summary information in obj
including BIC values,
posterior probabilities for models, marginal probabilities for model
size, and marginal probabilities for markers is recalculated with
the specified new values of delta
and prior
A list with components:
delta |
new value of delta used |
prior |
new value of prior used |
bic |
new value of bic for each model |
postprob |
new value of posterior probability for each model |
probne0 |
marginal probabilities for markers to be selected |
postprob.size |
marginal probabilities for model size |
R.D. Ball rod.ball@AT@scionresearch.com
bicreg.qtl
, summary.bicreg.qtl
## Not run: recalc.bicprobs(ex1n1200c1.bicreg,old.prior=0.2,prior=0.1)