dnormexp {limma} | R Documentation |

## The Normal + Exponential Convolution Distribution

### Description

Density of the normal + exponential convolution distribution.
This function is called by `normexp.fit`

.

### Usage

dnormexp(x,normmean,normsd,expmean,log=FALSE)
dnormexp.saddle(x,normmean,normsd,expmean,log=FALSE,secondorder=TRUE)

### Arguments

`x` |
numeric vector of quantiles |

`normmean` |
mean of normal distribution |

`normsd` |
standard deviation of normal distribution |

`expmean` |
mean of exponential distribution |

`log` |
logical, if `TRUE` , density values `d` are given as `log(d)` |

`secondorder` |
logical, if `TRUE` the second order saddle-point approximation is used |

### Details

`dnormexp`

computes the exact density but may fail for some extreme parameter values.
`dnormexp.saddle`

computes the saddle-point approximation to the density.

### Value

numeric vector of density or log-density values.

### Author(s)

Jeremy Silver and Gordon Smyth

### See Also

An overview of background correction functions is given in `04.Background`

.

[Package

*limma* version 2.4.7

Index]