# Replicability Analysis for Multiple Studies of High Dimension

## Documentation for package ‘repfdr’ version 1.2.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

binned_zmat | Three GWAS studies - input objects to main function
binned_zmat_sim | Simulated data set - input objects to main function
bz | Three GWAS studies - input objects to main function
bz_sim | Simulated data set - input objects to main function
em.control | Control Parameters for the EM algorithm
hconfigs | Enumeration of all possible vectors of association status.
hmat_sim | Simulated data set - indicators of association status matrix
ldr | Estimation of posterior probabilities for the vectors of association status
manhattan | Bayes and local Bayes false discovery rate estimation for replicability analysis
pbz | Three GWAS studies - input objects to main function
pbz_sim | Simulated data set - input objects to main function
Pi | Estimation of the prior probabilities for each association status vector.
piem | Estimation of the prior probabilities for each association status vector.
repfdr | Bayes and local Bayes false discovery rate estimation for replicability analysis
SNPlocations | Three GWAS studies SNPs locations and data
twosided.PValues.tobins | Binning of two sided P-Values and estimation of the probabilities in each bin for the null and non-null states.
zmat_sim | Simulated data set
ztobins | Binning of z-scores and estimation of the probabilities in each bin for the null and non-null states.