calc.conditionals: Calculate conditional probabilities for annotated features

In aaronwolen/bingd: Bayesian integration of genomic data

Description

Calculate conditional probabilities for annotated features

Usage

calc.conditionals(object, risk.thresh = NULL, adjust = NULL,
  verbose = FALSE)

## S4 method for signature 'AnnotatedGWAS'
calc.conditionals(object, risk.thresh = NULL,
  adjust = NULL, verbose = FALSE)

Arguments

object	AnnotatedGWAS object
risk.thresh	the p-value threshold applied to identify “risky” markers
adjust	optional parameter to adjust baseline and conditional probabilities for linkage disequilibrium
verbose	print out intermediate statistics calculated during the analysis

Value

data.frame containing probabilities of observing each combination of annotated features.

aaronwolen/bingd documentation built on May 10, 2019, 4:04 a.m.