rMallow: Sampler for Mallows Model
In shuxiaoc/agRank: Rank Aggregation in Phenotypic Selection

Description Usage Arguments Details Value References Examples

Given a reference ranking and a dispersion parameter, sample a full ranking from Mallows model.

1	rMallow(sigma, phi)

`sigma`	vector of the reference ranking, where i-th element is the item ranked in the i-th place by the reference ranking
`phi`	a (0, 1] dispersion parameter indicating the "variance" of the sampled ranking

Mallows model describes a distribution over rankings with respect to a distance measure between one ranking and a reference ranking (Mallows, 1957). The sampler is based on the Repeated Insertion Model (Doignon et al., 2004).

Return a list with two components:

`ranks`	a vector where the i-th element is the rank assigned to the i-th item.
`ranking`	a vector where the i-th element is the item ranked in the i-th place

Doignon, Jean-Paul, Aleksandar Pekec, and Michel Regenwetter. "The repeated insertion model for rankings: Missing link between two subset choice models." Psychometrika 69.1 (2004): 33-54.

Mallows, Colin L. "Non-null ranking models. I." Biometrika 44.1/2 (1957): 114-130.

#a random reference ranking of length 10
#the first element ranked higher than the second element, etc.
sigma = sample(10)

#a random dispersion parameter
phi = runif(1, 0, 1)

res = rMallow(sigma, phi)
res$ranks
res$ranking