# Project Details

**Project Title**: Multivariate Statistics: Old School (MSOS)

**Project URL**: http://cran.r-project.org/web/packages/msos/

**Code Repository**: https://github.com/coatless/msos

**Project Version**: 1.1.0

**Project Status**: Maintenance releases

**Project Description**: R Package implementation of R functions and data sets
used in John Marden’s Multivariate Statistics Old School textbook. The package
contains detailed documentation of the functions and datasets. This includes a
slew of examples to understand functions.

The package features:

- Both Sides Models
- Least Squares
- MLE
- LRT,
`\(\chi ^2\)`

, and hotelling Tests on subsets of`\(\beta\)`

- Degrees of Freedom

- Maximizing negentropy for
`\(Q = 1, 2, 3\)`

dimensions. - BIC from a set of observed eigenvalues given a specific pattern.
- Quadratic discrimination (QDA) calculation and prediction
- Linear Discrimination (LDA) calculation
- Silhouettes for K-Means Clustering
- Many unique data sets
- births, caffeine, cars, cereal, crabs, decathlon08, decathlon12, election, exams, grades, histamine, leprosy, mouths, painters, planets, prostaglandin, SAheart, skulls, softdrinks, Spam, sportsranks, states

- Features R should have but does not: logdet, trace (tr), imax (largest value index), fillout (transform matrix to square), reverse.kronecker