Man pages for StoreyLab/fFDR
Functional FDR for multiple hypothesis testing
| as.data.frame.fqvalue | Convert an fqvalue object to a data frame |
| as.double.fPi0 | Extract functional pi0 estimates. |
| as.double.fqvalue | Convert an fqvalue object to a vector of fq-values |
| compare_qvalue | Compare functional q-value to traditional q-values |
| constrained.binomial | constrained binomial family |
| estimate_fixed_pi0 | Estimate a constant functional proportion |
| estimate_fpi0 | Estimate the functional proportion |
| fixed_pi0_table | Provide estimates of the functional proportion at varying... |
| fqvalue | Estimate functional q-value based on p-value and an... |
| kernelUnitInterval | Estimate a density on the unit interval or unit square via... |
| plot.fPi0 | Plot the estimated functional proportion |
| plot.fqvalue | Scatterplot comparing p-value to quantile of informative... |
| plot_MISE | Plot demonstrating how the tuning parameter "lambda" is... |
| predict.fPi0 | Predict the functional proportion |
| print.fPi0 | Extract functional pi0 estimates. |
| print.fqvalue | Print an fqvalue object |
| reverseloglog_trans | log(-log(x)) transformation for a ggplot2 scale |
| simulate_fPi0_t_tests | simulation of t-tests with functional proportion |
| simulate_t_tests | simulate one-sample t-tests |
| summary.fqvalue | One row summary of an analysis by the fFDR methodology |
| yeast_summary | Yeast eQTL data |
