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fdrtool (version 1.2.18)

Estimation of (Local) False Discovery Rates and Higher Criticism

Description

Estimates both tail area-based false discovery rates (Fdr) as well as local false discovery rates (fdr) for a variety of null models (p-values, z-scores, correlation coefficients, t-scores). The proportion of null values and the parameters of the null distribution are adaptively estimated from the data. In addition, the package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression and antitonic regression with weights), for computing the greatest convex minorant (GCM) and the least concave majorant (LCM), for the half-normal and correlation distributions, and for computing empirical higher criticism (HC) scores and the corresponding decision threshold.

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Version

Install

install.packages('fdrtool')

Monthly Downloads

25,233

Version

1.2.18

License

GPL (>= 3)

Last Published

August 20th, 2024

Functions in fdrtool (1.2.18)

fdrtool-internal

Internal fdrtool Functions
fdrtool

Estimate (Local) False Discovery Rates For Diverse Test Statistics
hc.score

Compute Empirical Higher Criticism Scores and Corresponding Decision Threshold From p-Values
dcor0

Distribution of the Vanishing Correlation Coefficient (rho=0) and Related Functions
gcmlcm

Greatest Convex Minorant and Least Concave Majorant
pval.estimate.eta0

Estimate the Proportion of Null p-Values
censored.fit

Fit Null Distribution To Censored Data by Maximum Likelihood
grenader

Grenander Estimator of a Decreasing or Increasing Density
pvalues

Example p-Values
halfnormal

The Half-Normal Distribution
monoreg

Monotone Regression: Isotonic Regression and Antitonic Regression