
ks
 Referenced in 37 articles
[sw08013]
 data, including density functions, density derivatives, cumulative distributions, modal clustering, discriminant analysis, significant modal regions...

Emmixuskew
 Referenced in 21 articles
[sw16349]
 Fitting Unrestricted Multivariate Skew t Mixture Models. Functions to fit finite mixture of unrestricted multivariate ... uMST) model, random sample generation, discriminant analysis, 2D and 3D contour plots...

Mixmod
 Referenced in 36 articles
[sw06991]
 purposes of density estimation, clustering or discriminant analysis. A large variety of algorithms to estimate ... likelihood (or completedata likelihood) function. MIXMOD is currently intended to be used for multivariate ... depending on the particular perspective (cluster analysis or discriminant analysis). Written in C++, MIXMOD...

candisc
 Referenced in 3 articles
[sw25169]
 candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis. Functions for computing and visualizing generalized ... multivariate linear model. Traditional canonical discriminant analysis is restricted to a oneway ’MANOVA’ design ... equivalent to canonical correlation analysis between a set of quantitative response variables ... vectors for each term. The graphic functions provide lowrank (1D, 2D, 3D) visualizations...

Directional
 Referenced in 8 articles
[sw21265]
 collection of functions for directional data analysis. Hypothesis testing, discriminant and regression analysis...

RKHS
 Referenced in 4 articles
[sw03078]
 lead to canonical factor analysis are also generalized to the functional data setting. Finally ... between Fisher’s linear discriminant analysis and canonical correlation analysis for random vectors is extended ... include situations with functionvalued random elements. This allows for classification using the canonical...

binda
 Referenced in 1 article
[sw21319]
 binda” package implements functions for multiclass discriminant analysis using binary predictors, for corresponding variable...

FADA
 Referenced in 3 articles
[sw16021]
 High Dimension. The functions provided in the FADA (Factor Adjusted Discriminant Analysis) package...

RidgeFusion
 Referenced in 2 articles
[sw27161]
 quadratic discriminant analysis. The package also contains function for model based clustering using ridge fusion...

LSSVMlab
 Referenced in 26 articles
[sw07367]
 methodology for solving problems in nonlinear classification, function estimation and density estimation which has also ... recognition algorithms such as kernel Fisher discriminant analysis and extensions to unsupervised learning, recurrent networks...

lfda
 Referenced in 1 article
[sw20801]
 semisupervised local Fisher discriminant analysis. It also provides visualization functions to easily visualize...

libPLS
 Referenced in 1 article
[sw33119]
 functions for building partial least squares (PLS) regression (PLSR) and discriminant analysis (PLSDA) models...

robCompositions
 Referenced in 12 articles
[sw11804]
 factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression ... well as high and lowlevel plot functions for the ternary diagram...

LifeTables
 Referenced in 1 article
[sw23535]
 Life Table System. Functions supplied in this package will implement discriminant analysis to select...

iPromoter2L
 Referenced in 22 articles
[sw24788]
 Promoters have various types with different functions. Owing to their importance in biological process ... developed, they can only be used to discriminate a specific type of promoters from ... very useful high throughput tool for genome analysis...

QuartetS
 Referenced in 2 articles
[sw34206]
 duplication events and discriminate paralogous from orthologous genes. We used function and phylogenybased metrics ... that, for largescale phylogenetic and functional analysis, QuartetS and QuartetSC should be preferred...

Rfwdmv
 Referenced in 3 articles
[sw25518]
 search for the analysis of multivariate data. The package provides functions useful for detecting atypical ... package contains functions for performing robust principal component analyses and robust discriminant analyses as well...

Signal3L
 Referenced in 16 articles
[sw26857]
 layer approach for predicting signal peptide. Functioning as an ”address tag” that directs nascent proteins ... query secretory protein by a subsitecoupled discrimination algorithm; (3) determining the final cleavage site ... hence is particularly useful for the analysis of largescale datasets. Signal3L is freely...

longQDA
 Referenced in 1 article
[sw20397]
 package long QDA for executing quadratic discriminant analysis with longitudinal data. Beyond the statistical methodology ... this dissertation, the entire process of data analysis up to the reporting of the results ... criterion is demonstrated for two features: the functionalities for multivariate data settings...

TULIP
 Referenced in 1 article
[sw28276]
 highdimensional methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and user ... Qing Mai and Xin Zhang (2019) . Functions are included for covariate adjustment, model fitting, cross...