Package: tclust 2.0-6

tclust: Robust Trimmed Clustering

Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.

Authors:Valentin Todorov [aut, cre], Luis Angel García Escudero [aut], Agustín Mayo Iscar [aut], Javier Crespo Guerrero [aut], Heinrich Fritz [aut]

tclust_2.0-6.tar.gz
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tclust.pdf |tclust.html
tclust/json (API)

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

Peer review:

Bug tracker:https://github.com/valentint/tclust/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

8.20 score 3 stars 3 packages 66 scripts 3.0k downloads 10 mentions 18 exports 9 dependencies

Last updated 25 days agofrom:917e0e0d97. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-win-x86_64OKOct 27 2024
R-4.5-linux-x86_64OKOct 27 2024
R-4.4-win-x86_64OKOct 27 2024
R-4.4-mac-x86_64OKOct 27 2024
R-4.4-mac-aarch64OKOct 27 2024
R-4.3-win-x86_64OKOct 27 2024
R-4.3-mac-x86_64OKOct 27 2024
R-4.3-mac-aarch64OKOct 27 2024

Exports:ctlcurvesDiscrFactplot.ctlcurvesplot.DiscrFactplot.rlgplot.tclustplot.tkmeansprint.ctlcurvesprint.DiscrFactprint.tclustprint.tkmeansrlgsimula.rlgsimula.tclustsummary.DiscrFacttclusttclustICtkmeans

Dependencies:codetoolsdoParallelellipsisforeachiteratorsMASSRcppRcppArmadillorlang

A Trimming Approach to Cluster Analysis

Rendered fromtclust.rnwusingutils::Sweaveon Oct 27 2024.

Last update: 2024-05-09
Started: 2023-03-23