• PMA

  • Referenced in 102 articles [sw19126]
  • principal components analysis, and sparse canonical correlation analysis, described in the following papers: (1) Witten ... sparse principal components and canonical correlation analysis. Biostatistics 10(3):515-534. (2) Witten ... Tibshirani (2009) Extensions of sparse canonical correlation analysis, with applications to genomic data. Statistical Applications...
  • CCA

  • Referenced in 13 articles [sw09506]
  • Package to Extend Canonical Correlation Analysis. Canonical correlations analysis (CCA) is an exploratory statistical method ... highlight correlations between two data sets acquired on the same experimental units. The cancor() function ... than units. Illustrations are given through the analysis of a data set coming from...
  • Rabbit

  • Referenced in 17 articles [sw08372]
  • performed detailed security analysis, in particular, correlation analysis and algebraic investigations. The cryptanalysis of Rabbit...
  • WGCNA

  • Referenced in 17 articles [sw07123]
  • package WGCNA: Weighted Correlation Network Analysis. Functions necessary to perform Weighted Correlation Network Analysis...
  • phytools

  • Referenced in 13 articles [sw10003]
  • This functionality is concentrated in the phylogenetic analysis of comparative data from species. For example ... trait evolution with multiple Brownian rates and correlations; visualizing discrete and continuous character evolution using ... continuous trait evolution; fitting a model of correlated binary trait evolution; locating the position ... major axis regression, a phylogenetic canonical correlation analysis, and a phylogenetic ANOVA; projecting a tree...
  • CreditRisk+

  • Referenced in 40 articles [sw31697]
  • cause the incidence of defaults to be correlated, even though there is no causal link ... rate volatilities and sector analysis rather than using default correlations as explicit inputs into...
  • JIVE

  • Referenced in 12 articles [sw09511]
  • block methods such as Canonical Correlation Analysis and Partial Least Squares. A JIVE analysis...
  • LOCKSMITH

  • Referenced in 10 articles [sw20224]
  • LOCKSMITH: context-sensitive correlation analysis for race detection. One common technique for preventing data races ... locks and the locations they protect consistent correlation, and the core of our technique ... novel constraint-based analysis that infers consistent correlation context-sensitively, using the results to check ... improve the precision and performance of the analysis, including a sharing analysis for inferring thread...
  • homals

  • Referenced in 10 articles [sw13953]
  • emulate regression analysis and canonical correlation analysis...
  • psych

  • Referenced in 32 articles [sw04549]
  • done using factor analysis of tetrachoric and polychoric correlations. Functions for simulating particular item ... modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using...
  • CALA

  • Referenced in 7 articles [sw02706]
  • that combines link analysis and content correlation analysis. This approach takes the hyperlink anchor texts...
  • yaImpute

  • Referenced in 6 articles [sw07226]
  • These include methods based on canonical correlation analysis, canonical correspondence analysis, and a multivariate adaptation...
  • spatstat

  • Referenced in 122 articles [sw04429]
  • functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics ... empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with...
  • RKHS

  • Referenced in 4 articles [sw03078]
  • variables play a crucial role in multivariate analysis. Two extension of this concept are considered ... extension of the multivariate concept of canonical correlation. A solution to the regression problem ... correlation formulation. The classical identities of Lawley and Rao that lead to canonical factor analysis ... linear discriminant analysis and canonical correlation analysis for random vectors is extended to include situations...
  • integrOmics

  • Referenced in 4 articles [sw28007]
  • levels. However, the development of such an analysis is a major computational and technical challenge ... includes a regularized version of canonical correlation analysis to enlighten correlations between two datasets...
  • MIXNO

  • Referenced in 8 articles [sw10546]
  • These models can be used for analysis of correlated nominal response data, for example, data...
  • GSNCA

  • Referenced in 3 articles [sw25309]
  • Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets. MOTIVATION ... date, gene set analysis approaches primarily focus on identifying differentially expressed gene sets (pathways). Methods ... mostly based on aggregated pairwise correlations or other pairwise measures of coexpression ... Instead, we propose Gene Sets Net Correlations Analysis (GSNCA), a multivariate differential coexpression test that...
  • CMAR

  • Referenced in 47 articles [sw28406]
  • prunes rules effectively based on confidence, correlation and database coverage. The classification is performed based ... weighted /spl chi//sup 2/ analysis using multiple strong association rules. Our extensive experiments...
  • candisc

  • Referenced in 2 articles [sw25169]
  • Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis. Functions for computing and visualizing generalized canonical ... discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis ... design and is equivalent to canonical correlation analysis between a set of quantitative response variables ... plots are now provided for canonical correlation analysis when all predictors are quantitative...
  • UNCSAM

  • Referenced in 4 articles [sw00990]
  • RIVM for performing sensitivity and uncertainty analysis on a large variety of models. UNCSAM combines ... sampling and simulation) with regression- and correlation analysis, to obtain a clear picture...