summary.adj {bqtl} R Documentation

## Summarize Laplace approximations

### Description

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

### Usage


## S3 method for class 'adj'
summary(object, n.loc, coef.znames, mode.names=c("add",
"dom"), imp.denom=NULL, swap.obj=NULL,...)


### Arguments

 object Typically, this is the result of a call like bqtl(y~configs(swap.obj),...) n.loc The number of genes in this model coef.znames map.names for the sample space mode.names NULL except for "F2", in which case it is uusally c("add","dom") imp.denom Optional, and only used when some sampling scheme other than the default MCMC generates object swap.obj The result of a call to swap ... unused

### Details

There are a lot of details. This sections nneds to be revised to reflect them.

### Value

A list with components

 adj  This multiplier adjusts the posterior odds for k vs k-1 gene models var  An estimate of the variance of adj coef Posterior means of coefficients loc Marginal Posterior for location for k gene model hk.ratio.mean argh! I need to look this up

### Author(s)

Charles C. Berry cberry@ucsd.edu

### References

Berry C.C. (1998) Computationally Efficient Bayesian QTL Mapping in Experimental Crosses. ASA Proceedings of the Biometrics Section, 164-169.

[Package bqtl version 1.0-33 Index]