Package: mixedClust 1.0.2.1

mixedClust: Co-Clustering of Mixed Type Data

Implementation of the co-clustering method for mixed type data proposed in M. Selosse, J. Jacques, C. Biernacki (2018) <https://hal.science/hal-01893457>. It consists in clustering simultaneously the rows (observations) and the columns (features) of a heterogeneous data set.

Authors:Margot Selosse [aut], Julien Jacques [aut, cre], Christophe Biernacki [aut]

mixedClust_1.0.2.1.tar.gz
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mixedClust_1.0.2.1.tgz(r-4.6-x86_64)mixedClust_1.0.2.1.tgz(r-4.6-arm64)mixedClust_1.0.2.1.tgz(r-4.5-x86_64)mixedClust_1.0.2.1.tgz(r-4.5-arm64)
mixedClust_1.0.2.1.tar.gz(r-4.7-arm64)mixedClust_1.0.2.1.tar.gz(r-4.7-x86_64)mixedClust_1.0.2.1.tar.gz(r-4.6-arm64)mixedClust_1.0.2.1.tar.gz(r-4.6-x86_64)
mixedClust_1.0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mixedClust/json (API)

# Install 'mixedClust' in R:

install.packages('mixedClust', repos = c('https://jujacques.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

M1 - Matrix of simulated ordinal data

On CRAN:

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

2.00 score 1 stars 2 scripts 300 downloads 1 exports 45 dependencies

Last updated from:bd3dd56adc. Checks:15 OK. Indexed: yes.

Target	Result	Time	Files	Syslog
linux-devel-arm64	OK	186
linux-devel-x86_64	OK	231
source / vignettes	OK	316
linux-release-arm64	OK	224
linux-release-x86_64	OK	215
macos-release-arm64	OK	261
macos-release-x86_64	OK	497
macos-oldrel-arm64	OK	250
macos-oldrel-x86_64	OK	452
windows-devel-arm64	OK	430
windows-devel-x86_64	OK	237
windows-release-arm64	OK	426
windows-release-x86_64	OK	236
windows-oldrel-x86_64	OK	212
wasm-release	OK	167

Exports:mixedCoclust

Dependencies:ash bitops cli cluster colorspace cpp11 deSolve farver fda fds FNN ggplot2 glue gtable hdrcde isoband kernlab KernSmooth ks labeling lattice lifecycle locfit MASS Matrix mclust mgcv multicool mvtnorm nlme pcaPP pracma R6 rainbow RColorBrewer Rcpp RcppArmadillo RcppProgress RCurl rlang S7 scales vctrs viridisLite withr

Description | Installation | Datasets | Simulation of heterogeneous data | Simulation of categorical data | Simulation of quantitative data | Simulation of ordinal data | Shuffling lines and columns | Setting parameters | Perform co-clustering | The particular case of functional data | Simulation of functional data | Performing co-clustering with functional data | References

Rendered frommixedClustLite.Rmdusingknitr::rmarkdown

Last update: 2019-09-04
Started: 2019-09-04

Citation

Readme and manuals

Help Manual

Help page	Topics
Matrix of simulated ordinal data	M1
Function to perform a co-clustering	mixedCoclust

Usage by other packages (reverse dependencies)