TopKSample: Sampler to generate N top-k lists according to p
In TopKLists: Inference, Aggregation and Visualization for Top-K Ranked Lists

Description Usage Arguments Details Value Note Author(s) Examples

Sampler to generate N top-k lists according to p. A function wrapping to a native C implementation is available as well.

1 2	TopKSample(p, N) TopKSample.c(p, N)

`p`	Matrix of dimension n*(k+1), n is the number of items (to be ranked) and k is the top elements in the joint ranking. Each column is a multinomial probability vector.
`N`	The number of samples

A pure R implementation TopKSample and a native C method TopKSample.c are available.

N TopKlists

By default the C implementation is used due to its better performance.

Jie Ding <jding@jimmy.harvard.edu>

set.seed(1234)
rank.pool <- 1:10
a <- sample(rank.pool, 10)
b <- sample(rank.pool, 10)
c <- sample(rank.pool, 10)
M <- cbind(a, b, c)

TopKSample.c(M, 4)