Description Usage Arguments Value Author(s) Examples

Compute the weighted average of bin-wise power conditioning on the fold change and minimal ChIP count requirements.

1 2 3 4 5 6 | ```
cssp.power(fit, x, ite = 100, fold = 1, min.count = 10, useC = FALSE,
qval = 0.05)
## S4 method for signature 'CSSPFit'
cssp.power(fit, x, ite = 100, fold = 1,
min.count = 10, useC = FALSE, qval = 0.05)
``` |

`fit` |
A CSSPFit-class object for the CSSP model. |

`x` |
A numeric value for the sequencing depth of the ChIP sample at which the power is evaluated. |

`ite` |
A integer value for the number of iterations used for Monte-Carlo evaluation. |

`fold` |
A numeric value for the fold change threshold. |

`min.count` |
A numeric value for the minimal count threshold. |

`useC` |
A logical value. Whether the function will be evaluated using C. Default: FALSE. |

`qval` |
A numeric value for the q-value for FDR control. Default: 0.05. |

A numeric value for the weighted average of bin power conditioning on the minimal count and fold change thresholds.

Chandler Zuo zuo@stat.wisc.edu

1 2 3 |

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