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dist_wrap
Create a distribution from p/d/q/r style functions
Description
![[Experimental]](../help/figures/lifecycle-experimental.svg)
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
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()