distr6 (version 1.3.6)

ExoticStatistics: Exotic Statistical Methods for Distributions

Description

This decorator adds methods for more complex statistical methods including p-norms, survival and hazard functions and anti-derivatives.

Value

Returns a decorated R6 object inheriting from class SDistribution with the methods listed below added to the SDistribution methods.

Constructor

ExoticStatistics$new(distribution)

Constructor Arguments

Argument	Type	Details
distribution	distribution	Distribution to decorate.

Added Methods

Method	Name	Link
survival(x1, log = FALSE)	Survival function	survival
hazard(x1, log = FALSE)	Hazard function	hazard
cumHazard(x1, log = FALSE)	Cumulative hazard function	cumHazard
cdfAntiDeriv(lower = NULL, upper = NULL))	Anti-derivative of cdf	cdfAntiDeriv
survivalAntiDeriv(lower = NULL, upper = NULL)	Anti-derivative of survival function	survivalAntiDeriv
cdfPNorm(p = 2, lower = NULL, upper = NULL)	P-norm of cdf	cdfPNorm
pdfPNorm(p = 2, lower = NULL, upper = NULL)	P-norm of pdf	pdfPNorm
survivalPNorm(p = 2, lower = NULL, upper = NULL)	P-norm of survival function	survivalPNorm

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.

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

See Also

decorate, listDecorators

Examples

# NOT RUN {
x = Exponential$new()
decorate(x, ExoticStatistics)
x$survival(1)

x = Exponential$new(decorators = ExoticStatistics)
x$survival(4)

# }