
UMFPACK
 Referenced in 225 articles
[sw00989]
 unsymmetricpattern multifrontal numerical factorization. The preordering and symbolic analysis phase computes an upper ... memory usage during the subsequent numerical factorization. Usercallable routines are provided for ordering...

Latent GOLD
 Referenced in 60 articles
[sw11673]
 traditional latent variable approaches such as factor analysis, structural equation models, and randomeffects regression...

Multilinear Engine
 Referenced in 24 articles
[sw14430]
 Problems, including the nWay Parallel Factor Analysis Model. A technique for fitting multilinear ... component analysis and threeway PARAFAC factor analysis are examples of bilinear and trilinear least...

PRELIS
 Referenced in 32 articles
[sw09526]
 censored regression; ML and MINRES exploratory factor analysis...

PARAFAC
 Referenced in 17 articles
[sw14789]
 PARAFAC: Parallel factor analysis. We review the method of Parallel Factor Analysis, which simultaneously fits ... terms of a common set of factors with differing relative weights in each ‘slice’. Mathematically ... bilinear model of factor (or component) analysis (xij = ΣRr = 1airbjr) to a trilinear model (xijk ... data. Several generalizations of the parallel factor analysis model are currently under development, including ones...

Survey
 Referenced in 28 articles
[sw08163]
 survey: analysis of complex survey samples. Summary statistics, twosample tests, generalised linear models, cumulative ... sampling without replacement. Principal components, factor analysis...

AFMULT
 Referenced in 16 articles
[sw08201]
 Multiple factor analysis (AFMULT package). Multiple Factor Analysis (MFA) studies several groups of variables (numerical ... already used in others methods as: factor analysis in which groups of variables are weighted...

FAMT
 Referenced in 17 articles
[sw11123]
 FAMT: Factor Analysis for Multiple Testing (FAMT) : simultaneous tests under dependence in highdimensional data ... variables is modeled by a factor analysis structure. The number of factors considered...

psych
 Referenced in 15 articles
[sw04549]
 primarily for scale construction using factor analysis, cluster analysis and reliability analysis, although others provide ... Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions ... modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using...

WEKA
 Referenced in 187 articles
[sw06435]
 WEKA: Waikato Environment for Knowledge Analysis. WEKA is a popular machine learning workbench with ... This article provides an overview of the factors that we believe to be important...

lavaan
 Referenced in 15 articles
[sw07227]
 latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models...

MUMPS
 Referenced in 47 articles
[sw04013]
 factorization and solve phases (uniprocessor version also available); Iterative refinement and backward error analysis; Various...

JASPAR
 Referenced in 18 articles
[sw18502]
 access database for eukaryotic transcription factor binding profiles. The analysis of regulatory regions in genome ... based on the detection of potential transcription factor binding sites. The preferred models for representation ... nucleotide sequences experimentally demonstrated to bind transcription factors. The database is complemented ... searching and subset selection, an online sequence analysis utility and a suite of programming tools...

TESTFACT
 Referenced in 8 articles
[sw13948]
 Test scoring, item statistics, and item factor analysis...

SACS
 Referenced in 7 articles
[sw03265]
 developed for sensitivity analysis in covariance structure analysis. It consists of two parts, SACS ... confirmatory as well as exploratory factor analysis models and in LISREL type linear structural equation...

MA57
 Referenced in 56 articles
[sw00536]
 matrix factors, solution of multiple righthand sides, and iterative refinement and error analysis...

mdp
 Referenced in 6 articles
[sw14129]
 Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data preprocessing methods, and many...

ArrayCluster
 Referenced in 3 articles
[sw20488]
 significant challenges in gene expression analysis is to find unknown subtypes of several diseases ... method, referred to as the mixed factors analysis. The ArrayCluster is a freely available software ... perform the mixed factors analysis. It provides us some analytic tools for clustering DNA microarray...

MINMOD
 Referenced in 9 articles
[sw16356]
 method for measuring these two factors, using computer analysis of a frequentlysampled intravenous glucose...

missMDA
 Referenced in 3 articles
[sw08142]
 analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with...