Nothing

- Fixed
`lda()`

's computation for unbalanced data sets. (thanks Trevor Park, #5) - Switch CI testing to GitHub Actions (#6)
- Add
`pkgdown`

website (#7)

- Enforced a consistent code style (#4)
- Cleaned up the DESCRIPTION file (#3)
- Expanded the README file (#3)
- Added links to the MSOS textbook (#3)

- Corrected outstanding CRAN checks related to malformed
`DESCRIPTION`

file and need to import functions (#2) - Switched documentation over to using roxygen2 (#1)
- Improved mathematical notation in documentation
- Added links to GitHub repository

- Added dependency on 'tree' package.
- Updated documentation.

- Perform multivariate modeling with Both-Sides Model approach using least squares and maximum likelihood estimate computations.
- Maximizing techniques for negentropy.
- Test subsets of beta estimates.
- Principle Component selection based on BIC values

MSOS was made during STAT 571 - Multivariate Analysis to increase familiarity with Multivariate methods and to make course datasets more accessible. The project was approved and mentored by Statistics Professor Emeritus John Marden at the University of Illinois at Urbana-Champaign (UIUC).

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