• CMAR

  • Referenced in 53 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...
  • 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...
  • 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...
  • ANTsR

  • Referenced in 4 articles [sw25746]
  • variations of principal component and canonical correlation analysis...
  • MIXED

  • Referenced in 76 articles [sw06480]
  • linear mixed model approach for the analysis of repeated measurements data using the SAS Software ... repeated in time, space or both. Correlation among measurements made on the same subject...
  • KFDB

  • Referenced in 6 articles [sw03397]
  • Principal Component Analysis), LFA (Local Feature Analysis) and correlation matching algorithms on the KFDB (Korean...
  • pydic

  • Referenced in 3 articles [sw36591]
  • python tools for local digital image correlation analysis...
  • PyClimate

  • Referenced in 3 articles [sw29475]
  • geophysical fields, such as principal component analysis and related tasks (truncation rules by means ... decomposition of covariance matrices and canonical correlation analysis for coupled variability of geophysical fields. Other...
  • SBML-SAT

  • Referenced in 7 articles [sw21897]
  • analyses using multi-parametric sensitivity analysis, partial rank correlation coefficient, SOBOL’s method, and weighted ... systems biologists a new tool for the analysis of their SBML models of biochemical...
  • Bio3d

  • Referenced in 4 articles [sw15706]
  • analysis of heterogeneous structure data, and correlation network analysis from normal mode and molecular dynamics...
  • gcmr

  • Referenced in 31 articles [sw07433]
  • Gaussian copula models for marginal regression analysis of non-normal dependent observations. The class provides ... traditional linear regression models with normal correlated errors. Any kind of continuous, discrete and categorical ... continuous setting numerical approximations are used. Residual analysis and a specification test are suggested...
  • fdapace

  • Referenced in 8 articles [sw15968]
  • numerical integration. PACE is useful for the analysis of data that have been generated ... options for functional regression and correlation, for Longitudinal Data Analysis, the analysis of stochastic processes...
  • PyMVPA

  • Referenced in 6 articles [sw15259]
  • brain imaging. Standard univariate fMRI analysis methods, which correlate cognitive and perceptual function with ... reliable, and more sensitive than standard univariate analysis. Drawing on the field of statistical learning...
  • DASC

  • Referenced in 2 articles [sw19158]
  • variance, factor analysis models, and canonical correlation analysis, to mention the most important ones. Particular...
  • DGCA

  • Referenced in 1 article [sw17777]
  • package DGCA. Differential Gene Correlation Analysis. Performs differential correlation analysis on input matrices, with multiple ... filter, process, save, visualize, and interpret differential correlations of identifier-pairs across the entire identifier ... contains several functions to perform differential correlation analysis on clusters (i.e., modules) or genes. Finally...
  • PCOAT

  • Referenced in 1 article [sw35662]
  • PCOAT: positional correlation analysis using multiple methods. PCOAT (Positional COrrelation Analysis Tool) is a program ... perform positional correlation analysis for protein multiple sequence alignment in order to identify structurally ... implement different statistical methods to detect highly correlated position pairs, amino acid pairs, individual positions...
  • KyPlot

  • Referenced in 2 articles [sw00496]
  • principal component, factor, discriminant and canonical correlation analysis) and for survival analysis...
  • moleculaRnetworks

  • Referenced in 2 articles [sw27065]
  • script that enables statistical, trend, and correlation analysis, and other data mining. The goal...
  • correlation

  • Referenced in 2 articles [sw39778]
  • package correlation: Methods for Correlation Analysis. Lightweight package for computing different kinds of correlations, such...
  • STEPCEE

  • Referenced in 2 articles [sw25018]
  • methods have been proposed for the analysis of correlated binary data, but none deals with ... stepwise selection procedure for the analysis of correlated binary data. Using regression methods based...