• 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 73 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...
  • simplexreg

  • Referenced in 6 articles [sw24021]
  • simplex distribution are given. Regression analysis of proportional data using various kinds of simplex models ... longitudinal data to model the correlation. Residual analysis is also involved. Some subroutines are written...
  • KFDB

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

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

  • Referenced in 27 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...
  • 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...
  • Bio3d

  • Referenced in 3 articles [sw15706]
  • analysis of heterogeneous structure data, and correlation network analysis from normal mode and molecular dynamics...
  • pydic

  • Referenced in 2 articles [sw36591]
  • python tools for local digital image correlation analysis...
  • ccaPP

  • Referenced in 1 article [sw31263]
  • package ccaPP: (Robust) Canonical Correlation Analysis via Projection Pursuit. Canonical correlation analysis and maximum correlation...
  • MEDIPS

  • Referenced in 2 articles [sw17294]
  • wide variety of applications including genome-wide analysis of epigenetic marks and mechanisms. A common ... adds novel functionality to MEDIPS, including correlation analysis between samples, and takes advantage of Bioconductor...
  • W2CWM2C

  • Referenced in 2 articles [sw32637]
  • Cross) Correlation and Wavelet Multiple (Cross) Correlation Analysis. Set of functions that improves the graphical...
  • ennemi

  • Referenced in 1 article [sw37793]
  • present ennemi, a Python package for correlation analysis based on mutual information ... measure of relationship between variables. Unlike Pearson correlation it is valid also for non-linear ... features make MI a better correlation measure for exploratory analysis of many variable pairs ... package provides methods for common correlation analysis tasks using MI. It is scalable, integrated with...
  • N-way Toolbox

  • Referenced in 30 articles [sw12996]
  • maximum likelihood fitting, conload for congruence and correlation loadings, eemscat for scatter handling ... multi-way clustering, CuBatch for batch data analysis, indafac for PARAFAC, PARALIND for constrained PARAFAC...