gaps-methods: Methods for Functions gaps and setgaps in Package `distr'

Description

[set]gaps-methods

Usage

gaps(object)
gaps(object)
gaps(object) <- value
setgaps(object, ...)
# S4 method for AbscontDistribution
gaps(object)

# S4 method for AbscontDistribution
setgaps(object, exactq = 6, 
           ngrid = 50000, ...)

Arguments

object: object of class "AbscontDistribution" (or subclasses)
...: further arguments to be passed to setgaps; not yet used.
value: \(n \times 2\) matrix m of numerics where c(t(m)) is an ordered vector; value to be assigned to slot gaps
exactq: density values smaller than \(10^{\scriptsize -{\rm exactq}}\) are considered as \(0\).
ngrid: number of gridpoints at which the density is evaluated.

Methods

gaps: signature(object = "AbscontDistribution"): returns slot gaps of an absolutely continuous distribution
setgaps: signature(object = "AbscontDistribution"): tries to find out the gaps (where d(object) is approximately 0) and fills slot gaps of object correspondingly
setgaps: signature(object = "UnivarMixingDistribution"): for each mixing component, if it has a slot gaps, tries to find out the gaps and fills slot gaps of the component correspondingly, and, subsequently merges all found gap-slots of the components to a gap-slot for the object, using internal function .mergegaps2.
gaps<-: signature(object = "AbscontDistribution"): modifies slot gaps of an absolutely continuous distribution