shallot (version 0.4.8)

ewens: Partition Distributions

Description

These functions specify the Ewens, Ewens-Pitman, Ewens attraction, Ewens-Pitman attraction, and ddCRP distributions which would then be used in the sample.partitions function.

Usage

ewens(mass, n.items, names = paste0("c", 1:n.items))
# S3 method for shallot.distribution.ewens
print(x, ...)
ewens.pitman(mass, discount, n.items, names = paste0("c", 1:n.items))
# S3 method for shallot.distribution.ewensPitman
print(x, ...)
ewens.attraction(mass, attraction)
# S3 method for shallot.distribution.ewensAttraction
print(x, ...)
ewens.pitman.attraction(mass, discount, attraction)
# S3 method for shallot.distribution.ewensPitmanAttraction
print(x, ...)
ddcrp(mass, attraction)
# S3 method for shallot.distribution.ddcrp
print(x, ...)

Arguments

mass

An object of class shallot.mass.

n.items

An integer containing the number of items to partition.

names

A character vector containing the names of the items. The default names are of the form “c1”, “c2”, etc.

x

An object of class shallot.distribution.

...

Currently ignored.

discount

An object of class shallot.discount.

attraction

An object of class shallot.attraction.

Value

An object of class shallot.distribution.

References

Dahl, D. B., Day, R., and Tsai, J. (2017), Random Partition Distribution Indexed by Pairwise Information, Journal of the American Statistical Association, 112, 721-732. <DOI:10.1080/01621459.2016.1165103>

See Also

mass, discount, attraction, sample.partitions

Examples

# NOT RUN {
pd1 <- ewens(mass(1),50)

decay <- decay.exponential(temperature(1.0),dist(scale(USArrests)))
attraction <- attraction(permutation(n.items=50,fixed=FALSE), decay)
pd2 <- ewens.pitman.attraction(mass(1), discount(0.05), attraction)

pd3 <- ddcrp(mass(1), attraction)

# }