pp.nsnp: Summarize the posterior model support by the number of SNPs...

In chr1swallace/GUESSFM: Using GUESS for Fine Mapping

Description

Summarize the posterior model support by the number of SNPs contained in a model

Usage

pp.nsnp(results, plot = FALSE, expected = NULL, overdispersion = 1)

Arguments

results	object of class snpmod
plot	if TRUE, print a plot to current plotting device
expected	optional, if specified, this is the prior expectation of the number of causal SNPs underlying the trait in the studied region. Specifying will cause a line for the prior to be added to the plot
overdispersion	optional, default=1. Ignored unless expected is given. The overdispersion of the beta binomial distribution used for the prior relative to a binomial.

Value

a named list containing

• "pp"a named vector summarizing the posterior for each count of SNPs

• "plot"a ggplot object

See Also

snpprior

Other plotting GUESSFM results: addlines, ggbed, ggchr, ggld, scalepos, signal.plot

chr1swallace/GUESSFM documentation built on May 13, 2019, 6:17 p.m.