# Aggregation of P-value Ranks using a Beta Distribution and Alpha Cutoff

### Description

This function is called internally as a single instance of the beta aggregation step in RRAa. Users should not interact with it directly.
The expected input is a list of rank statistics, and a paired `alpha`

argument defining which values to consider in downstream analyses (see below).

### Usage

1 | ```
ct.RRAalpha(p, g.key, alpha, shuffle = FALSE, return.obj = TRUE)
``` |

### Arguments

`p` |
A single column matrix of rank statistics, with |

`g.key` |
data.frame with guide and gene names |

`alpha` |
The alpha cutoff parameter, corresponding to the P-value threshold or fold change proportion at which gRNAs should no longer be considered to be
differentially expressed. Alternatively, this can be provided as a logical vector of the same length as the number of rows in |

`shuffle` |
Logical indicating whether to shuffle the rank statistics prior to calculating the rho statistics (useful for permutation). |

`return.obj` |
Name of the environment to record results in, or |

### Value

Nothing, or a named list of target-level P-values, which are treated as a rho statistic in the permutation step.

### Author(s)

Russell Bainer

### Examples

1 2 3 |