R: Surrogate Functional False Discovery Rates for Genome-Wide Association Studies

# Surrogate Functional False Discovery Rates for Genome-Wide Association Studies

## Documentation for package ‘sffdr’ version 1.1.2

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

## Help Pages

bmi | Subset of p-values from the UK Biobank
decorrelate_informative | Soft whitening of informative trait z-scores
discover_empirical_nulls | Discover Empirical Negative Controls
estimate_rho_overlap | Estimate sample overlap correlation
fpi0est | Estimate Functional Proportion of Null Tests
fpvalues | Functional p-values
kernelEstimator | Kernel Density Estimation for GWAS P-values
monoSmooth_conditional | Fast Conditional Monotonic Smoothing
monoSmooth_pava | Fast Conditional PAVA (Decreasing)
overlap_null_density | Compute conditional null density under sample overlap
pi0_model | Build Model for Functional Proportion of Null Tests (fpi0)
plot, | Plotting function for sffdr object
plot.sffdr | Plotting function for sffdr object
run_empirical_overlap_correction | Run Overlap Correction using Data-Driven Nulls
sffdr | Surrogate Functional False Discovery Rate Analysis
sumstats | Subset of p-values from the UK Biobank