halfnorm function

Half normal distribution

Computes the pdf, cdf, value at risk and expected shortfall for Half normal distribution given by [REMOVE_ME]$\begin{array}{ll}&\displaystylef (x) = \frac {2}{\sigma} \phi \left( \frac {x}{\sigma} \right),\\&\displaystyleF (x) = 2 \Phi \left( \frac {x}{\sigma} \right) - 1,\\&\displaystyle{\rm VaR}_p (X) = \sigma \Phi^{-1} \left( \frac {1 + p}{2} \right),\\&\displaystyle{\rm ES}_p (X) = \frac {\sigma}{p} \int_0^p \Phi^{-1} \left( \frac {1 + v}{2} \right) dv\end{array} [REMOVE_ME_2]$

for $x > 0$, $0 < p < 1$, and $\sigma > 0$, the scale parameter.

Description

Computes the pdf, cdf, value at risk and expected shortfall for Half normal distribution given by

for $x > 0$, $0 < p < 1$, and $\sigma > 0$, the scale parameter.

dhalfnorm(x, sigma=1, log=FALSE)
phalfnorm(x, sigma=1, log.p=FALSE, lower.tail=TRUE)
varhalfnorm(p, sigma=1, log.p=FALSE, lower.tail=TRUE)
eshalfnorm(p, sigma=1)

Arguments

• x: scaler or vector of values at which the pdf or cdf needs to be computed
• p: scaler or vector of values at which the value at risk or expected shortfall needs to be computed
• sigma: the value of the scale parameter, must be positive, the default is 1
• log: if TRUE then log(pdf) are returned
• log.p: if TRUE then log(cdf) are returned and quantiles are computed for exp(p)
• lower.tail: if FALSE then 1-cdf are returned and quantiles are computed for 1-p

Returns

An object of the same length as x, giving the pdf or cdf values computed at x or an object of the same length as p, giving the values at risk or expected shortfall computed at p.

References

Stephen Chan, Saralees Nadarajah & Emmanuel Afuecheta (2016). An R Package for Value at Risk and Expected Shortfall, Communications in Statistics - Simulation and Computation, 45:9, 3416-3434, tools:::Rd_expr_doi("10.1080/03610918.2014.944658")

Author(s)

Saralees Nadarajah

Examples

x=runif(10,min=0,max=1)
dhalfnorm(x)
phalfnorm(x)
varhalfnorm(x)
eshalfnorm(x)