Package: FunCC 1.0

FunCC: Functional Cheng and Church Bi-Clustering

The FunCC algorithm allows to apply the FunCC algorithm to simultaneously cluster the rows and the columns of a data matrix whose inputs are functions.

Authors:Agostino Torti [aut, cre], Marta Galvani [aut, cre], Alessandra Menafoglio [aut], Simone Vantini[aut]

FunCC_1.0.tar.gz
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FunCC.pdf |FunCC.html
FunCC/json (API)

# Install 'FunCC' in R:
install.packages('FunCC', repos = c('https://agostino-torti.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 2 scripts 124 downloads 7 exports 49 dependencies

Last updated 4 years agofrom:220b3adc80. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:find_best_deltafuncc_biclustfuncc_show_bicluster_coveragefuncc_show_bicluster_dimensionfuncc_show_bicluster_hscorefuncc_show_block_matrixfuncc_show_results

Dependencies:additivityTestsbiclustclassclicolorspacecpp11crayondplyrfansifarverflexclustgenericsggplot2gluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmodeltoolsmunsellnarraynlmepillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppreshaperlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr