dist.HalfCauchy: Half-Cauchy Distribution

Description Usage Arguments Details Value See Also Examples

Description

These functions provide the density, distribution function, quantile function, and random generation for the half-Cauchy distribution.

Usage

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Arguments

x,q

These are each a vector of quantiles.

p

This is a vector of probabilities.

n

This is the number of observations, which must be a positive integer that has length 1.

scale

This is the scale parameter alpha, which must be positive.

log

Logical. If log=TRUE, then the logarithm of the density is returned.

Details

The half-Cauchy distribution with scale alpha=25 is a recommended, default, weakly informative prior distribution for a scale parameter. Otherwise, the scale, alpha, is recommended to be set to be just a little larger than the expected standard deviation, as a weakly informative prior distribution on a standard deviation parameter.

Value

dhalfcauchy gives the density, phalfcauchy gives the distribution function, qhalfcauchy gives the quantile function, and rhalfcauchy generates random deviates.

See Also

dcauchy

Examples

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library(LaplacesDemon)
x <- dhalfcauchy(1,25)
x <- phalfcauchy(1,25)
x <- qhalfcauchy(0.5,25)
x <- rhalfcauchy(1,25)

#Plot Probability Functions
x <- seq(from=0, to=20, by=0.1)
plot(x, dhalfcauchy(x,1), ylim=c(0,1), type="l", main="Probability Function",
     ylab="density", col="red")
lines(x, dhalfcauchy(x,5), type="l", col="green")
lines(x, dhalfcauchy(x,10), type="l", col="blue")
legend(2, 0.9, expression(alpha==1, alpha==5, alpha==10),
     lty=c(1,1,1), col=c("red","green","blue"))

benmarwick/LaplacesDemon documentation built on May 12, 2019, 12:59 p.m.