Package: PerMallows 1.14
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Ekhine Irurozki
PerMallows: Permutations and Mallows Distributions
Includes functions to work with the Mallows and Generalized Mallows Models. The considered distances are Kendall's-tau, Cayley, Hamming and Ulam and it includes functions for making inference, sampling and learning such distributions, some of which are novel in the literature. As a by-product, PerMallows also includes operations for permutations, paying special attention to those related with the Kendall's-tau, Cayley, Ulam and Hamming distances. It is also possible to generate random permutations at a given distance, or with a given number of inversions, or cycles, or fixed points or even with a given length on LIS (longest increasing subsequence).
Authors:
PerMallows_1.14.tar.gz
PerMallows_1.14.tar.gz(r-4.5-noble)PerMallows_1.14.tar.gz(r-4.4-noble)
PerMallows_1.14.tgz(r-4.4-emscripten)PerMallows_1.14.tgz(r-4.3-emscripten)
PerMallows.pdf |PerMallows.html✨
PerMallows/json (API)
# Install 'PerMallows' in R: |
install.packages('PerMallows', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- data.apa - Sample of permutations APA
- data.order - Sample of permutations
- perm.sample.med - Sample of permutations
- perm.sample.small - Sample of permutations
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 days agofrom:52209cc7ca. Checks:2 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 13 2025 |
R-4.5-linux-x86_64 | OK | Feb 13 2025 |
Exports:composecount.permscycle2strcycles2permdecomp2permdgmmdistancedmmexpectation.gmmexpectation.mmfreq.matrixgenerate.aux.filesidentity.permutationinsertinverse.perminversionis.permutationlgmmlgmm.thetalmmlmm.thetamarginalmaxi.distorder.ratingsperm2cyclesperm2decomppermutations.ofrdist.permread.permsrgmmrmmrunif.permutationswap
Dependencies:Rcpp