Function reference • msos

Both Sides Model (BSM) Collection of functions for computing the both sides model
`bothsidesmodel()`	Calculate the least squares estimates
`bothsidesmodel.chisquare()`	Test subsets of \(\beta\) are zero
`bothsidesmodel.df()`	Obtain the degrees of freedom for a model.
`bothsidesmodel.hotelling()`	Test blocks of \(\beta\) are zero.
`bothsidesmodel.lrt()`	Test subsets of \(\beta\) are zero.
`bothsidesmodel.mle()`	Calculate the maximum likelihood estimates
Bayesian information criterion (BIC) Various functions that compute or use Bayesian Information Criterion (BIC) to inform model selection decisions.
`pcbic()`	BIC for a particular pattern
`pcbic.stepwise()`	Choosing a good pattern
`pcbic.unite()`	Obtain pattern
`pcbic.subpatterns()`	Obtain the best subpattern among the patterns.
Discrimination Approaches to separate known groups in a multivariate sample.
`qda()`	Quadratic discrimination
`lda()`	Linear Discrimination
`predict_qda()`	Quadratic discrimination prediction
Negentropy Computing measures of distance to normality.
`negent()`	Estimating negative entropy
`negent2D()`	Maximizing negentropy for \(q = 2\) dimensions
`negent3D()`	Maximizing negentropy for \(Q = 3\) dimensions
K-Means Silhouette Computing and sorting silhouettes for K-Mean clustering.
`silhouette.km()`	Silhouettes for \(K\)-Means Clustering
`sort_silhouette()`	Sort the silhouettes by group
Matrix Operations Functions that perform various matrix operations lacking a base R implementation.
`tr()`	Trace of a Matrix
`logdet()`	Log Determinant
`imax()`	Obtain largest value index
`fillout()`	Make a square matrix
`reverse.kronecker()`	Reverses the matrices in a Kronecker product
Both Sides Model Helpers Helper functions that allow for the bothsidesmodel to be computed.
`bsm.fit()`	Helper function to determine \(\beta\) estimates for MLE regression with patterning.
`bsm.simple()`	Helper function to determine \(\beta\) estimates for MLE regression.
Data Sets Various multivariate data sets.
`SAheart`	South African Hearth Disease Data
`Spam`	Spam
`births`	Birthrates throughout the day in four Hospitals
`caffeine`	The Effects of Caffeine
`cars`	Automobile Data from Consumer Reports
`cereal`	Cereal
`crabs`	Morphological Measurements on Leptograpsus Crabs
`decathlon08`	Decathlon Event Data from 2008 Olympics.
`decathlon12`	Decathlon Event Data from 2012 Olympics.
`election`	Presidential Election Data
`exams`	Statistics Students' Scores on Exams
`grades`	Grades
`histamine`	Histamine in Dogs
`leprosy`	Leprosy Patients
`mouths`	Mouth Sizes
`painters`	The Painter's Data of de Piles
`planets`	Planets
`prostaglandin`	Prostaglandin
`skulls`	Egyptian Skulls
`softdrinks`	Soft Drinks
`sportsranks`	Sports ranking
`states`	States

Reference

Both Sides Model (BSM)

Bayesian information criterion (BIC)

Discrimination

Negentropy

K-Means Silhouette

Matrix Operations

Both Sides Model Helpers

Data Sets