• 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 complete-data 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 one-way ’MANOVA’ design ... equivalent to canonical correlation analysis between a set of quantitative response variables ... vectors for each term. The graphic functions provide low-rank (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 function-valued random elements. This allows for classification using the canonical...
  • binda

  • Referenced in 1 article [sw21319]
  • binda” package implements functions for multi-class 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...
  • LS-SVMlab

  • 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]
  • semi-supervised 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 (PLS-DA) 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 low-level 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...
  • iPromoter-2L

  • 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 phylogeny-based metrics ... that, for large-scale phylogenetic and functional analysis, QuartetS and QuartetS-C 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...
  • Signal-3L

  • 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 subsite-coupled discrimination algorithm; (3) determining the final cleavage site ... hence is particularly useful for the analysis of large-scale datasets. Signal-3L 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]
  • high-dimensional 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...