• FADA

  • Referenced in 4 articles [sw16021]
  • provided in the FADA (Factor Adjusted Discriminant Analysis) package aim at performing supervised classification ... Friedman et al. (2010)), sparse linear discriminant analysis (see Clemmensen et al. (2011)), shrinkage linear ... diagonal discriminant analysis (see M. Ahdesmaki et al. (2010)). More methods of classification...
  • HiDimDA

  • Referenced in 4 articles [sw06068]
  • HiDimDA: High Dimensional Discriminant Analysis , Performs Linear Discriminant Analysis in High Dimensional problems based...
  • GWmodel

  • Referenced in 6 articles [sw08531]
  • summary statistics and a GW principal components analysis; (ii) advanced GW regression fits and diagnostics ... stationarity; (iv) a GW discriminant analysis; and (v) enhanced kernel bandwidth selection procedures. General Election...
  • dml

  • Referenced in 3 articles [sw20804]
  • local methods such as Relevant Component Analysis, Discriminative Component Analysis, Local Fisher Discriminant Analysis...
  • RKHS

  • Referenced in 5 articles [sw03078]
  • that lead to canonical factor analysis are also generalized to the functional data setting. Finally ... relationship between Fisher’s linear discriminant analysis and canonical correlation analysis for random vectors...
  • RaSEn

  • Referenced in 3 articles [sw33917]
  • also various, for instance, linear discriminant analysis, quadratic discriminant analysis, k-nearest neighbour, logistic regression...
  • lfda

  • Referenced in 2 articles [sw20801]
  • Package for Local Fisher Discriminant Analysis and Visualization. Local Fisher discriminant analysis is a localized ... variant of Fisher discriminant analysis and it is popular for supervised dimensionality reduction method. lfda ... package for performing local Fisher discriminant analysis, including its variants such as kernel local Fisher ... discriminant analysis and semi-supervised local Fisher discriminant analysis. It also provides visualization functions...
  • sda

  • Referenced in 3 articles [sw06073]
  • Shrinkage Discriminant Analysis and CAT Score Variable Selection , This package provides an efficient framework ... high-dimensional linear and diagonal discriminant analysis with variable selection. The classifier is trained using...
  • candisc

  • Referenced in 3 articles [sw25169]
  • package candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis. Functions for computing and visualizing ... generalized canonical discriminant analyses and canonical correlation analysis ... multivariate linear model. Traditional canonical discriminant analysis is restricted to a one-way ’MANOVA’ design...
  • sparsediscrim

  • Referenced in 2 articles [sw24150]
  • package sparsediscrim: Sparse and Regularized Discriminant Analysis. A collection of sparse and regularized discriminant analysis ... package features the High-Dimensional Regularized Discriminant Analysis classifier...
  • dawai

  • Referenced in 2 articles [sw24148]
  • package dawai: Discriminant Analysis with Additional Information. In applications it is usual that some additional ... This package dawai (an acronym for Discriminant Analysis With Additional Information) performs linear and quadratic ... discriminant analysis with additional information expressed as inequality restrictions among the populations means. It also...
  • ascrda

  • Referenced in 2 articles [sw15137]
  • Regularized discriminant analysis and its application in microarrays. Diagonal linear/quadratic discriminant analysis: R Package ascrda...
  • MGSDA

  • Referenced in 2 articles [sw27160]
  • package MGSDA: Multi-Group Sparse Discriminant Analysis. Implements Multi-Group Sparse Discriminant Analysis proposal...
  • TULIP

  • Referenced in 2 articles [sw28276]
  • package TULIP: A Toolbox for Linear Discriminant Analysis with Penalties. Integrates several popular high-dimensional ... methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and user-friendly toolbox...
  • libPLS

  • Referenced in 2 articles [sw33119]
  • Partial Least Squares Regression and Linear Discriminant Analysis. This library provides a whole ... least squares (PLS) regression (PLSR) and discriminant analysis (PLS-DA) models as well as predictive...
  • CViz

  • Referenced in 3 articles [sw00178]
  • because it is based on linear discriminant analysis and it conforms to rigorous standards...
  • RidgeFusion

  • Referenced in 3 articles [sw27161]
  • matrix estimation for use in quadratic discriminant analysis. The package also contains function for model...
  • SelvarMix

  • Referenced in 3 articles [sw24498]
  • Selection in Model-Based Clustering and Discriminant Analysis. Performs a regularization approach to variable selection...
  • ViDaExpert

  • Referenced in 2 articles [sw07558]
  • Components Analysis, different clustering methods, Linear Discriminate Analysis, Linear Regression Method. The main principle...
  • VaDA

  • Referenced in 1 article [sw34827]
  • Variational discriminant analysis with variable selection. A fast Bayesian method that seamlessly fuses classification ... hypothesis testing via discriminant analysis is developed. Building upon the original discriminant analysis classifier, modelling...