# Estimate the rate of non-homogeneous PP with data

### Description

Given a vector of point events, give a rough estimate of the rate of underlying non-homogeneous Poisson process by window and smoothing

### Usage

1 | ```
nhppRateEstimate(controls, length.out = floor(length(controls)/20), lowessF = 0.1)
``` |

### Arguments

`controls` |
A vector of point locations (read positions) of a control sample for which the rate is wanted |

`length.out` |
The number of windows to be used for the rate estimate vector; default to be number of observations/100 |

`lowessF` |
Smoothing factor for the lowess smoothing of the windowed rates, describes the proportion of windows around a particular window that has influence on its smoothed rate estimate |

### Details

This is used to give a realistic estimate of the rate nhpp of control samples

### Value

Returns a vector of length `length.out`

that contains the smoothed rate estimate of each window

### Author(s)

Jeremy J. Shen

### See Also

`nhppSimulate`

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.