60a0d364eba254c6312c2d54494bf812 *DESCRIPTION
492b5d291cc45076f424d830883408d3 *INDEX
cd43597ee6dacd93fa2bc3e51bef53cf *Meta/Rd.rds
97f39cfa069205fc947ab1e51ea53d4e *Meta/features.rds
56e710e9f6a3acc94289cc21040c9293 *Meta/hsearch.rds
1d0b65e66adaecb77a537b0a5fae8334 *Meta/links.rds
337d147c41712c819afd5bd7e8270935 *Meta/nsInfo.rds
fa9439bb3745e01a939a250d59fd4dba *Meta/package.rds
9db6df3bedc40ad86755227c4b6229ed *Meta/vignette.rds
f743a47a7df5fc388f73a85788241bf8 *NAMESPACE
5d6ff278bb8ea3ed31c7bc601493704a *NEWS.md
d6c68f1fe41ced6e98a766a3757313da *R/pivmet
91cc88d8ea417e0fe363af28ef85a160 *R/pivmet.rdb
91180896afcea85ac601029dac00b2f3 *R/pivmet.rdx
eaf5daffabbe28b0ee82e0f978383c41 *doc/K-means_clustering_using_the_MUS_algorithm.R
0071f65bfba121b4accda7c1fcb8fbff *doc/K-means_clustering_using_the_MUS_algorithm.Rmd
590aa140e75d309b57c8a85b9e586a52 *doc/K-means_clustering_using_the_MUS_algorithm.html
cb5bd15c10637ac7d1980648cbd2ac12 *doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.R
842c365ea636e5f2d6ddae2f68271967 *doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.Rmd
85a65fed707cd490e9393fca0ea13de5 *doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.html
1aa204659a71cae6d502ee508aa671e8 *doc/index.html
822c8875f62ee65aa4884093e2b6b77a *help/AnIndex
a38db34d4104ce43799beeef0c8f7472 *help/aliases.rds
b3dc0d2b21ef5622662b4e130147db0f *help/figures/README-kmeans_plots-1.png
b3dc0d2b21ef5622662b4e130147db0f *help/figures/README-musk-1.png
9bb0dfd1d8cdbfa77d0772d3c20c3de9 *help/figures/README-plot-1.png
3d48ce33fa5475a43821cfcc735faba4 *help/figures/README-plot-2.png
a9cb8ac3ba4230a73d50f0db533ab3f7 *help/paths.rds
43e25b2ac56ddc5edf45b987859f884d *help/pivmet.rdb
b0d2b589f99d9d441ef121f7acee7848 *help/pivmet.rdx
ed28090fef954e67ebf3edb2a881bd60 *html/00Index.html
8b9362669af13540a86a3ac6cf22f99d *html/R.css
