# millsR: Mills Ratio In NormalLaplace: The Normal Laplace Distribution

 MillsRatio R Documentation

## Mills Ratio

### Description

Calculates the Mills ratio

### Usage

millsR(y, log = FALSE)



### Arguments

 y Numeric. Value at which the Mills' Ratio is evaluated. log Logical. If log = TRUE, Mills' Ratios are given as log(millsR).

### Details

The function calculates the Mills' Ratio. Since the Mill's Ratio converges to zero for large positive z and infinity for large negative z. The range over which the logarithm of the Mill's ratio may be calculated is greater than that for which the Mill's ratio itself may be calculated.

### Value

The Mills' Ratio is

R(z)=\frac{1-\Phi(z)}{\phi(z)}

where \Phi(z) and \phi(z) are respectively the distribution function and density function of the standard normal distribution.

### Author(s)

David Scott d.scott@auckland.ac.nz, Jason Shicong Fu

### Examples


## compare millsR calculated directly with the millsR calculated
## by transforming to log scale and then back-transformed
millsR(1:10)
exp(millsR(1:10, log = TRUE))
exp(millsR(10*(1:10)))
exp(millsR(10*(1:10), log = TRUE))


NormalLaplace documentation built on Nov. 26, 2023, 1:07 a.m.