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-4.7)MBCbook_0.1.2.zip(r-4.6)MBCbook_0.1.2.zip(r-4.5)
MBCbook_0.1.2.tgz(r-4.6-any)MBCbook_0.1.2.tgz(r-4.5-any)
MBCbook_0.1.2.tar.gz(r-4.7-any)MBCbook_0.1.2.tar.gz(r-4.6-any)
MBCbook_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

Advice - The Advice data set from Lazega
AIDSBlogs - The AIDSBlogs data set
amazonFineFoods - The Amazon Fine Foods data set
Coworker - The Coworker data set from Lazega
credit - The Credit data set
Friend - The Friend data set from Lazega
NIR - The chemometrics near-infrared (NIR) data set
PoliticalBlogs - The political blog data set
puffin - The puffin data set
UScongress - The US congress vote 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:

2.23 score 17 scripts 215 downloads 7 exports 8 dependencies

Last updated from:eae6fd7f42. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	WARNING	143
source / vignettes	OK	148
linux-release-x86_64	WARNING	138
macos-release-arm64	WARNING	162
macos-oldrel-arm64	WARNING	183
windows-devel	WARNING	174
windows-release	WARNING	110
windows-oldrel	WARNING	107
wasm-release	OK	99

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