jaccard: Paired or longitudinal Jaccard distances
In aplantin/pldist: Paired and Longitudinal Ecological Dissimilarities

The distances are calculated as follows, where d_k^X is the within-subject measure of change appropriate to the setting (paired/longitudinal and quantitative/qualitative), as described in the full package documentation and vignette. Paired, qualitative: D_{AB} = 1 - {∑_k I(d_k^A = d_k^B) I(d_k^A \neq 0)}/{∑_k [I(d_k^A \neq 0) + I(d_k^B \neq 0)]} Paired, quantitative: D_{AB} = 1 - {∑_k \min(|d_k^A|, |d_k^B|) \, I(sgn(d_k^A) = sgn(d_k^B))}/{∑_k \max(|d_k^A|, |d_k^b|)} Longitudinal: D_{AB} = 1 - (∑_k \min(d_k^A, d_k^B))/(∑_k \max(d_k^A, d_k^B))

1	jaccard(tsf.data, paired, binary)

`tsf.data`	Transformed OTU table and metadata (from function pl.transform)
`paired`	Logical indicating whether paired analysis is desired
`binary`	Logical indicating whether to use the binary version of the distance