• SAS/STAT

  • Referenced in 438 articles [sw18788]
  • including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster...
  • ade4

  • Referenced in 47 articles [sw04566]
  • Euclidean methods in Environmental sciences , Multivariate data analysis and graphical display...
  • FactoMineR

  • Referenced in 48 articles [sw04573]
  • package FactoMineR: Multivariate Exploratory Data Analysis and Data Mining with R , an R package...
  • gss

  • Referenced in 293 articles [sw06099]
  • finding their ways into everyday data analysis by practitioners. While scores of methods have proved ... successful for univariate smoothing, ones practical in multivariate settings number far less. Smoothing spline ANOVA ... that are suitable for both univariate and multivariate problems. In this book, the author presents ... well as with censored life time data; (ii) density and conditional density estimation under...
  • sedaR

  • Referenced in 65 articles [sw04568]
  • devoted to the analysis of spatial ecological multivariate data. Below is a list ... packages provided by project Spatial ecological data analysis with R: AEM, PCNM, hubbell, mefaspat, metapop...
  • missMDA

  • Referenced in 19 articles [sw08142]
  • package missMDA: Handling missing values with/in multivariate data analysis (principal component methods). Imputation of incomplete...
  • PMA

  • Referenced in 130 articles [sw19126]
  • Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis ... sparse principal components and canonical correlation analysis. Biostatistics 10(3):515-534. (2) Witten ... sparse canonical correlation analysis, with applications to genomic data. Statistical Applications in Genetics and Molecular...
  • GeoDa

  • Referenced in 17 articles [sw08282]
  • free software package that conducts spatial data analysis, geovisualization, spatial autocorrelation and spatial modeling. OpenGeoDa ... package was initially developed by the Spatial Analysis Laboratory of the University of Illinois ... powerful capabilities to perform spatial analysis, multivariate exploratory data analysis, and global and local spatial...
  • ecp

  • Referenced in 22 articles [sw21075]
  • Parametric Multiple Change-Point Analysis of Multivariate Data. Implements various procedures for finding multiple change...
  • ltm

  • Referenced in 42 articles [sw07911]
  • been developed for the analysis of multivariate dichotomous and polytomous data using latent variable models...
  • DepthProc

  • Referenced in 11 articles [sw17738]
  • package DepthProc: Statistical Depth Functions for Multivariate Analysis. Data depth concept offers a variety ... tools for robust exploration and inference for multivariate data. The offered techniques may be successfully...
  • ks

  • Referenced in 48 articles [sw08013]
  • multivariate data, including density functions, density derivatives, cumulative distributions, modal clustering, discriminant analysis, significant modal...
  • dlm

  • Referenced in 30 articles [sw04503]
  • suited for time series analysis, both for univariate and multivariate data. The main methods ... examples in the book and the data sets not included in the package ... Bayesian inference. The basic elements of Bayesian analysis for linear regression models are reminded ... analysis. Then, dynamic linear models for time series analysis are investigated, both univariate and multivariate...
  • quantlet

  • Referenced in 6 articles [sw13364]
  • authors present tools and concepts of multivariate data analysis by means of exercises and their ... graphical techniques. The second part deals with multivariate random variables and presents the derivation ... wide variety of exercises in applied multivariate data analysis. The book demonstrates the application ... multivariate analysis course. All computer-based exercises are available in the R language. All data...
  • mcglm

  • Referenced in 6 articles [sw23203]
  • general framework for non-normal multivariate data analysis, designed to handle multivariate response variables, along...
  • TMVA

  • Referenced in 5 articles [sw06821]
  • TMVA Toolkit for Multivariate Data Analysis with ROOT. The Toolkit for Multivariate Analysis (TMVA) provides...
  • SIMCA

  • Referenced in 5 articles [sw20768]
  • SIMCA: The Standard in Multivariate Data Analysis. For over three decades, Sartorius Stedim Data Analytics...
  • MADE4

  • Referenced in 3 articles [sw10461]
  • multivariate analysis of gene expression data. MADE4: Multivariate analysis of microarray data using ADE4. MADE4 ... statistical language R. MADE4 enables the multivariate analysis of microarray and other genomic datasets ... Bioconductor microarray data formats and send these to the multivariate statistical analysis package ADE4 ... visualisation of results of multivariate analyses of microarray data...
  • CanoDraw

  • Referenced in 3 articles [sw04565]
  • multivariate data analysis with linear and unimodal ordination methods. Analysis of multivariate data often involves ... role assigned to them in particular analysis: environmental variables, covariables, and supplementary variables. Ecologists often...
  • LIBRA

  • Referenced in 29 articles [sw10553]
  • LIBRA. LIBRA: a MATLAB Library for Robust Analysis is developed at ROBUST@Leuven, the research ... data. Currently, the library contains functions for univariate location, scale and skewness, multivariate location ... regression (LTS, MCD-regression), Principal Component Analysis (RAPCA, ROBPCA), Principal Component Regression (RPCR), Partial Least ... RSIMCA), clustering, outlier detection for skewed data (including the bagplot based on halfspace depth...