distributional (version 0.2.1)

dist_wrap: Create a distribution from p/d/q/r style functions

Description

experimental

Usage

dist_wrap(dist, ..., package = "stats")

Arguments

dist

The name of the distribution used in the functions (name that is prefixed by p/d/q/r)

...

Named arguments used to parameterise the distribution.

package

The package from which the distribution is provided.

Details

If a distribution is not yet supported, you can vectorise p/d/q/r functions using this function. dist_wrap() stores the distributions parameters, and provides wrappers which call the appropriate p/d/q/r functions.

Using this function to wrap a distribution should only be done if the distribution is not yet available in this package. If you need a distribution which isn't in the package yet, consider making a request at https://github.com/mitchelloharawild/distributional/issues.

Examples

# NOT RUN {
dist <- dist_wrap("norm", mean = 1:3, sd = c(3, 9, 2))

density(dist, 1) # dnorm()
cdf(dist, 4) # pnorm()
quantile(dist, 0.975) # qnorm()
generate(dist, 10) # rnorm()

library(actuar)
dist <- dist_wrap("invparalogis", package = "actuar", shape = 2, rate = 2)
density(dist, 1) # actuar::dinvparalogis()
cdf(dist, 4) # actuar::pinvparalogis()
quantile(dist, 0.975) # actuar::qinvparalogis()
generate(dist, 10) # actuar::rinvparalogis()

# }