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:
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
- 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
Last updated 5 months agofrom:eae6fd7f42. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 15 2024 |
| R-4.5-win | WARNING | Sep 15 2024 |
| R-4.5-linux | WARNING | Sep 15 2024 |
| R-4.4-win | WARNING | Sep 15 2024 |
| R-4.4-mac | WARNING | Sep 15 2024 |
| R-4.3-win | WARNING | Sep 15 2024 |
| R-4.3-mac | WARNING | Sep 15 2024 |
Exports:constrEMdenoisePatchesimageToPatchimshowreconstructImagerqdavarSelEM
Dependencies:latticeMASSMatrixmclustmvtnormRcppRcppEigenRmixmod
