Package: tclust 2.0-5

Valentin Todorov

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_2.0-5.tar.gz
tclust_2.0-5.tar.gz(r-4.5-noble)tclust_2.0-5.tar.gz(r-4.4-noble)
tclust_2.0-5.tgz(r-4.4-emscripten)tclust_2.0-5.tgz(r-4.3-emscripten)
tclust.pdf |tclust.html✨
tclust/json (API)

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

6.48 score 3 packages 64 scripts 2.1k downloads 10 mentions 18 exports 9 dependencies

Last updated 11 days agofrom:92b6c74d54. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 16 2024
R-4.5-linux-x86_64OKOct 16 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 16 2024.

Last update: 2024-05-10
Started: 2014-10-20