7d724b2dd0a95e38e563f02cf945b1cf *DESCRIPTION
492b5d291cc45076f424d830883408d3 *INDEX
9aa6457cbd40ba8d9245c11e3f1c8112 *Meta/Rd.rds
104d433669a37420724bd986c19a450b *Meta/features.rds
007bc0144398158798019c4286204e7e *Meta/hsearch.rds
211eb04ec0922caa8bf1e7e5292f552d *Meta/links.rds
cc50d590fb497c28e88ae4e9391e2c40 *Meta/nsInfo.rds
7caed508d81c6987b15047f5d7f4d709 *Meta/package.rds
5b3c2003bdf5778bc3da66429dd65722 *Meta/vignette.rds
f743a47a7df5fc388f73a85788241bf8 *NAMESPACE
230a2629d68e5cda5251fadd05b5684a *NEWS.md
d6c68f1fe41ced6e98a766a3757313da *R/pivmet
55faf59c24523e91ff4eb30b35fc3ff0 *R/pivmet.rdb
93819bc0c885a46ea8f8abf639fdd7c7 *R/pivmet.rdx
eaf5daffabbe28b0ee82e0f978383c41 *doc/K-means_clustering_using_the_MUS_algorithm.R
0071f65bfba121b4accda7c1fcb8fbff *doc/K-means_clustering_using_the_MUS_algorithm.Rmd
ad346e81a496d7ac5be63899b8f2b2e3 *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
d2fdf54ba9aa3a602106b8a429b5574b *doc/Relabelling_in_Bayesian_mixtures_by_pivotal_units.html
1edf54ba266a7faa95ce2c7df130a241 *doc/index.html
822c8875f62ee65aa4884093e2b6b77a *help/AnIndex
5a100e59f4c69d29aa8f78a713c0b86b *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
f9347e9efd298075e39084c363d83990 *help/paths.rds
ef6b51a6f735ca84f2e154c6f9728356 *help/pivmet.rdb
daf8b4c4cf927662a6ff8659319f791e *help/pivmet.rdx
b3c0a5459d05e0f16ae7dcb0a9a2e193 *html/00Index.html
b6763e6916890c631fdc3f2643803b1a *html/R.css
