FunctionImputation: Imputed Pdf/Cdf/Quantile/Rand Functions

Description

This decorator imputes missing pdf/cdf/quantile/rand methods from R6 Distributions by using strategies dependent on which methods are already present in the distribution.

Value

Returns a decorated R6 object inheriting from class SDistribution with d/p/q/r numerically imputed if previously missing.

Constructor

FunctionImputation$new(distribution)

Constructor Arguments

Argument	Type	Details
`distribution`	distribution	Distribution to decorate.

Added Methods

Method	Name	Link
`pdf(x1, ..., log = FALSE, simplify = TRUE)`	Density/mass function	`pdf`
`cdf(x1, ..., lower.tail = TRUE, log.p = FALSE, simplify = TRUE)`	Distribution function	`cdf`
`quantile(p, ..., lower.tail = TRUE, log.p = FALSE, simplify = TRUE)`	Quantile function	`quantile.Distribution`
`rand(n, simplify = TRUE)`	Simulation function	`rand`

Details

Decorator objects add functionality to the given Distribution object by copying methods in the decorator environment to the chosen Distribution environment. See the 'Added Methods' section below to find details of the methods that are added to the Distribution. Methods already present in the distribution are not overwritten by the decorator.

Use decorate to decorate a Distribution.

All methods in this decorator use numerical approximations and therefore better results may be available from analytic computations.

Examples

Run this code

# NOT RUN {
x = Distribution$new("Test", pdf = function(x) 1/(4-1),
support = Interval$new(1,4),
type = Reals$new())
decorate(x, FunctionImputation)
x$pdf(0:5)
x$cdf(0:5)

# }

Run the code above in your browser using DataLab

Get 50% off unlimited learning