Package: MBCbook 0.1.2

Charles Bouveyron

MBCbook: Companion Package for the Book "Model-Based Clustering and Classification for Data Science" by Bouveyron et al. (2019, ISBN:9781108644181).

The companion package provides all original data sets and functions that are used in the book "Model-Based Clustering and Classification for Data Science" by Charles Bouveyron, Gilles Celeux, T. Brendan Murphy and Adrian E. Raftery (2019, ISBN:9781108644181).

Authors:Charles Bouveyron [cre, aut], Gilles Celeux [aut], T. Brendan Murphy [aut], Adrian Raftery [aut]

MBCbook_0.1.2.tar.gz
MBCbook_0.1.2.zip(r-4.5)MBCbook_0.1.2.zip(r-4.4)MBCbook_0.1.2.zip(r-4.3)
MBCbook_0.1.2.tgz(r-4.4-any)MBCbook_0.1.2.tgz(r-4.3-any)
MBCbook_0.1.2.tar.gz(r-4.5-noble)MBCbook_0.1.2.tar.gz(r-4.4-noble)
MBCbook_0.1.2.tgz(r-4.4-emscripten)MBCbook_0.1.2.tgz(r-4.3-emscripten)
MBCbook.pdf |MBCbook.html✨
MBCbook/json (API)

# Install 'MBCbook' in R:

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

Bug tracker:https://github.com/cbouveyron/mbcbook/issues

Datasets:

AIDSBlogs - The AIDSBlogs data set
Advice - The Advice data set from Lazega
Coworker - The Coworker data set from Lazega
Friend - The Friend data set from Lazega
NIR - The chemometrics near-infrared (NIR) data set
PoliticalBlogs - The political blog data set
UScongress - The US congress vote data set
amazonFineFoods - The Amazon Fine Foods data set
credit - The Credit data set
puffin - The puffin data set
usps358 - The handwritten digits usps358 data set
velib2D - The bivariate Vélib data set
velibCount - The discrete version (count data) of the Vélib data set
wine27 - The (27-dimensional) Italian Wine data set

On CRAN:

2.04 score 11 scripts 216 downloads 7 exports 8 dependencies

Last updated 7 months agofrom:eae6fd7f42. Checks:OK: 1 WARNING: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 14 2024
R-4.5-win	WARNING	Nov 14 2024
R-4.5-linux	WARNING	Nov 14 2024
R-4.4-win	WARNING	Nov 14 2024
R-4.4-mac	WARNING	Nov 14 2024
R-4.3-win	WARNING	Nov 14 2024
R-4.3-mac	WARNING	Nov 14 2024

Exports:constrEM denoisePatches imageToPatch imshow reconstructImage rqda varSelEM

Dependencies:lattice MASS Matrix mclust mvtnorm Rcpp RcppEigen Rmixmod

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Companion Package for the Book "Model-Based Clustering and Classification for Data Science" by Bouveyron et al. (2019, ISBN:9781108644181).	MBCbook-package MBCbook
The Advice data set from Lazega (2001)	Advice
The AIDSBlogs data set	AIDSBlogs
The Amazon Fine Foods data set	amazonFineFoods
Semi-supervised clustering with must-link constraints	constrEM
The Coworker data set from Lazega (2001)	Coworker
The Credit data set	credit
Denoising of image patches	denoisePatches
The Friend data set from Lazega (2001)	Friend
Transform an image into a collection of patches	imageToPatch
Display an image	imshow
The chemometrics near-infrared (NIR) data set	NIR
The political blog data set	PoliticalBlogs
The puffin data set	puffin
Reconstructing an image from a patch decomposition	reconstructImage
Robust (quadratic) discriminant analysis	rqda
The US congress vote data set	UScongress
The handwritten digits usps358 data set	usps358
A variable selection algorithm for clustering	varSelEM
The bivariate Vélib data set	velib2D
The discrete version (count data) of the Vélib data set	velibCount
The (27-dimensional) Italian Wine data set	wine27