Package: tip 0.1.0

Charles W. Harrison

tip: Bayesian Clustering Using the Table Invitation Prior (TIP)

Cluster data without specifying the number of clusters using the Table Invitation Prior (TIP) introduced in the paper "Clustering Gene Expression Using the Table Invitation Prior" by Charles W. Harrison, Qing He, and Hsin-Hsiung Huang (2022) <doi:10.3390/genes13112036>. TIP is a Bayesian prior that uses pairwise distance and similarity information to cluster vectors, matrices, or tensors.

Authors:Charles W. Harrison [cre, aut, cph], Qing He [aut, cph], Hsin-Hsiung Huang [aut, cph]

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tip/json (API)

Peer review:

Bug tracker:https://github.com/charleswharrison/tip/issues

On CRAN:

8 exports 0.62 score 71 dependencies 42 scripts 158 downloads

Last updated 2 years agofrom:3ba909fc64. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:get_cpt_neighborsggnet2_network_plotggplot_line_pointggplot_number_of_clusters_histggplot_number_of_clusters_tracepartition_undirected_graphplottip

Dependencies:backportsbitbit64broombroom.helperscardschangepointclicliprcodacodetoolscolorspacecpp11crayondoParalleldplyrfansifarverforcatsforeachgenericsGGallyggplot2ggstatsgluegtablehavenhmsigraphisobanditeratorslabelinglabelledLaplacesDemonlatticelifecyclemagrittrMASSMatrixmgcvmniwmunsellnetworknlmepatchworkpillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppRcppEigenreadrrlangscalesstatnet.commonstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrzoo