Package: ICGE 0.4.2

ICGE: Estimation of Number of Clusters and Identification of Atypical Units

It is a package that helps to estimate the number of real clusters in data as well as to identify atypical units. The underlying methods are based on distances rather than on unit x variables.

Authors:Itziar Irigoien [aut, cre], Concepcion Arenas [aut]

ICGE_0.4.2.tar.gz
ICGE_0.4.2.zip(r-4.5)ICGE_0.4.2.zip(r-4.4)ICGE_0.4.2.zip(r-4.3)
ICGE_0.4.2.tgz(r-4.4-any)ICGE_0.4.2.tgz(r-4.3-any)
ICGE_0.4.2.tar.gz(r-4.5-noble)ICGE_0.4.2.tar.gz(r-4.4-noble)
ICGE_0.4.2.tgz(r-4.4-emscripten)ICGE_0.4.2.tgz(r-4.3-emscripten)
ICGE.pdf |ICGE.html✨
ICGE/json (API)

# Install 'ICGE' in R:
install.packages('ICGE', repos = c('https://itziari.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.

2.16 score 3 packages 16 scripts 315 downloads 1 mentions 12 exports 3 dependencies

Last updated 2 years agofrom:934fe5a98a. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 16 2024
R-4.5-winNOTEOct 16 2024
R-4.5-linuxNOTEOct 16 2024
R-4.4-winOKOct 16 2024
R-4.4-macOKOct 16 2024
R-4.3-winOKOct 16 2024
R-4.3-macOKOct 16 2024

Exports:dbhattadcordeltasdgowerdmahaldproc2estWINCAindexINCAnumcluINCAtestproxivgeo

Dependencies:clusterfastclusterMASS