422b2c26adb9c33f2006502e30b79ea2 *DESCRIPTION
492b5d291cc45076f424d830883408d3 *INDEX
b8a4a2036510d632eb41e387a3bbd9df *Meta/Rd.rds
4d1492de7968466564e971368d24d147 *Meta/features.rds
647f266ae519740b5d600a5308b500b6 *Meta/hsearch.rds
d517ff20d11054e1a6bf58b7f97f8566 *Meta/links.rds
90018bd83db5088fcef70e1a1cff61b2 *Meta/nsInfo.rds
983693d4df45612ec9a49536f378c455 *Meta/package.rds
34f8512a6ec82afe09712e0d880c6bbf *Meta/vignette.rds
b12105fbfbed0d238b11a581d26950c4 *NAMESPACE
d0fe9c7985c2e41b94ba2ce24eb83982 *NEWS.md
d6c68f1fe41ced6e98a766a3757313da *R/pivmet
a8f80d5cfbfd5221aa13f5734e96d7f3 *R/pivmet.rdb
a1a76b1bf7946e7940ebb7fe74d0acde *R/pivmet.rdx
eaf5daffabbe28b0ee82e0f978383c41 *doc/K-means_clustering_using_the_MUS_algorithm.R
0071f65bfba121b4accda7c1fcb8fbff *doc/K-means_clustering_using_the_MUS_algorithm.Rmd
4b3963e33d05eba5e826c68f4e871da3 *doc/K-means_clustering_using_the_MUS_algorithm.html
fad793c09801ffcec18486ea43f5a1e7 *doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.R
377c3077998220c7a8e79e3d57715e5a *doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.Rmd
db106e58da8893d05e3374f4345da641 *doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.html
e87f086a54549b26e4c7a8496c041b6d *doc/index.html
822c8875f62ee65aa4884093e2b6b77a *help/AnIndex
cae1ae47c8b655f89a2e929091820f3d *help/aliases.rds
83b55b9e457e02bcfb781b0781f06bf2 *help/figures/README-kmeans_plots-1.png
387d2506d151432d2ab11212700884fa *help/figures/README-musk-1.png
9bb0dfd1d8cdbfa77d0772d3c20c3de9 *help/figures/README-plot-1.png
3d48ce33fa5475a43821cfcc735faba4 *help/figures/README-plot-2.png
d5a7749f5165c5f1ce4f51afe896b38a *help/paths.rds
d0445aae72cf9b7d5c4a0067fc0d2fa0 *help/pivmet.rdb
b28e19a876b48b3104ecce569668e12c *help/pivmet.rdx
08d56ae74f86d0caa509bddca47c737d *html/00Index.html
b6763e6916890c631fdc3f2643803b1a *html/R.css
