summary.adj {bqtl}  R Documentation 
The linear approximations of swap
are much improved
by the use a Laplace approximations for loci that are not
markers. This function combines the results of a call like
bqtl(y~configs(swap.obj),...)
with the data in
swap.obj
to provide improved posteriors, et cetera
## S3 method for class 'adj' summary(object, n.loc, coef.znames, mode.names=c("add", "dom"), imp.denom=NULL, swap.obj=NULL,...)
object 
Typically, this is the result of a call like

n.loc 
The number of genes in this model 
coef.znames 

mode.names 

imp.denom 
Optional, and only used when some sampling scheme
other than the default MCMC generates 
swap.obj 
The result of a call to 
... 
unused 
There are a lot of details. This sections nneds to be revised to reflect them.
A list with components
adj 
This multiplier adjusts the posterior odds for k vs k1 gene models 
var 
An estimate of the variance of 
coef 
Posterior means of coefficients 
loc 
Marginal Posterior for location for k gene model 
hk.ratio.mean 
argh! I need to look this up 
Charles C. Berry cberry@ucsd.edu
Berry C.C. (1998) Computationally Efficient Bayesian QTL Mapping in Experimental Crosses. ASA Proceedings of the Biometrics Section, 164169.