# qvalue v2.4.2

## Q-value estimation for false discovery rate control

This package takes a list of p-values resulting from the
simultaneous testing of many hypotheses and estimates their
q-values and local FDR values. The q-value of a test measures
the proportion of false positives incurred (called the false
discovery rate) when that particular test is called significant.
The local FDR measures the posterior probability the null
hypothesis is true given the test's p-value. Various plots
are automatically generated, allowing one to make sensible
significance cut-offs. Several mathematical results have
recently been shown on the conservative accuracy of the
estimated q-values from this software. The software can be
applied to problems in genomics, brain imaging, astrophysics,
and data mining.

## Functions in qvalue

Name | Description | |

plot.qvalue | Plotting function for q-value object | |

lfdr | Estimate local False Discovery Rate (FDR) | |

pi0est | Proportion of true null p-values | |

hist.qvalue | Histogram of p-values | |

hedenfalk | P-values and test-statistics from the Hedenfalk et al. (2001) gene expression dataset | |

qvalue | Estimate the q-values for a given set of p-values | |

write.qvalue | Write results to file | |

summary.qvalue | Display q-value object | |

empPvals | Calculate p-values from a set of observed test statistics and simulated null test statistics | |

No Results! |

## Last year downloads

## Details

Type | Package |

Date | 2015-03-24 |

biocViews | MultipleComparisons |

VignetteBuilder | knitr |

URL | http://github.com/jdstorey/qvalue |

License | LGPL |

RoxygenNote | 5.0.1 |

depends | base (>= 2.10) |

imports | ggplot2 , grid , reshape2 , splines |

suggests | knitr |

Contributors | John Storey |

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