Simulation-Based False Discovery Rate in RNA-Seq
Auxiliary functions for the DESeq2 package to simulate read counts according to the null hypothesis (i.e., with empirical sample size factors, per-gene total counts and dispersions, but without effects of predictor variables) and to compute the empirical false discovery rate.

Simulation-based False Discovery Rate in RNA-seq

empirical likelihood ratio for means/quantiles/hazards
from possibly right censored data
empirical likelihood ratio for right censored data

empirical likelihood ratio tests for means/quantiles/hazards
from possibly censored and/or truncated data
empirical likelihood ratio for censored/truncated data

empirical likelihood ratio tests for means/quantiles/hazards
from possibly censored and/or truncated data. Now does regression too.
Empirical likelihood ratio for censored/truncated data

empirical likelihood ratio tests for
means/quantiles/hazards from possibly censored and/or truncated
data. Now does regression too.

Mai Zhou.(Art Owen for el.test(), Yifan Yang for C part)

Mai Zhou. (Art Owen for el.test(). Yifan Yang for C code.)
Empirical likelihood ratio tests for means/quantiles/hazards
from possibly censored and/or truncated data. Now does regression too.
This version contains some C code.
Empirical Likelihood Ratio for Censored/Truncated Data

Mai Zhou. (Art Owen for el.test(). Yifan Yang for some C code.)

Empirical-likelihood test (two-sample, censored data)
William H. Barton <bbarton@lexmark.com> under the supervision
of Dr. Mai Zhou <mai@ms.uky.edu>
Calculates the p-value for a mean-type hypothesis (or
multiple mean-type hypotheses) based on two samples.

Empirical Likelihood Ratio Test for Two Samples with Censored
Data
William H. Barton <williamhbarton1@gmail.com> under the supervision of Dr. Mai Zhou <mai@ms.uky.edu>
Calculates the p-value for a mean-type hypothesis (or multiple mean-type hypotheses) based on two samples with censored data.

William H. Barton <williamhbarton1@gmail.com> under the supervision of Dr. Mai Zhou
Calculates the p-value for a mean-type hypothesis (or multiple mean-type hypotheses) based on
two samples with possible censored data.