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msos 1.2.0 - Hotfix - “Old School Unbalanced”

CHANGES

• Fixed lda()’s computation for unbalanced data sets. (thanks Trevor Park, #5)
• Switch CI testing to GitHub Actions (#6)
• Add pkgdown website (#7)

msos 1.1.1 - Hotfix - “Old School Revitalized”

CHANGES

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

msos 1.1.0 - Hotfix - “Old School Triumph”

CHANGES

• 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

msos 1.0.1 - Hotfix - “Old School Tact”

CHANGES

• Added dependency on ‘tree’ package.
• Updated documentation.

msos 1.0 - Live Update - “Old School Reborn”

NEW

• 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

THANKS

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).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.