• shapes

  • Referenced in 15 articles [sw14500]
  • shapes, including Procrustes analysis, graphical displays, principal components analysis, permutation and bootstrap tests, thin-plate...
  • phytools

  • Referenced in 13 articles [sw10003]
  • Bayesian posterior sample); conducting an analysis called stochastic character mapping, in which character histories ... response variables; conducting a phylogenetic principal components analysis, a phylogenetic regression, a reduced major axis...
  • JIVE

  • Referenced in 12 articles [sw09511]
  • general decomposition of variation for the integrated analysis of such data sets. The decomposition consists ... proposed method represents an extension of Principal Component Analysis and has clear advantages over popular...
  • Algorithm 971

  • Referenced in 8 articles [sw22686]
  • implementation of a randomized algorithm for principal component analysis. Recent years have witnessed intense development ... rank approximation. These methods target principal component analysis and the calculation of truncated singular value...
  • Isomap

  • Referenced in 11 articles [sw31686]
  • Unlike classical techniques such as principal component analysis (PCA) and multidimensional scaling (MDS), our approach...
  • irlba

  • Referenced in 7 articles [sw21041]
  • Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices ... truncated singular value decomposition and principal components analysis of large sparse and dense matrices...
  • mdp

  • Referenced in 9 articles [sw14129]
  • increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis...
  • rsvd

  • Referenced in 6 articles [sw16104]
  • also widely used for computing (randomized) principal component analysis (PCA), a linear dimensionality reduction technique ... decomposition to compute the most significant principal components. This package also includes ... function to compute (randomized) robust principal component analysis (RPCA). In addition several plot functions...
  • ADE-4

  • Referenced in 6 articles [sw14077]
  • include usual one-table methods like principal component analysis and correspondence analysis, spatial data analysis ... local and global components, analogous to Moran and Geary indices), discriminant analysis and within/between groups ... principal component regression), projection methods like principal component analysis on instrumental variables, canonical correspondence analysis...
  • robCompositions

  • Referenced in 8 articles [sw11804]
  • outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis...
  • coDaPack

  • Referenced in 6 articles [sw09297]
  • compositional data: the freeware coDaPack. The statistical analysis of compositional data based on logratios ... dimensionality as the biplot or Principal Component Analysis are very useful tools in a multivariate...
  • KFDB

  • Referenced in 6 articles [sw03397]
  • face recognition performed using PCA(Principal Component Analysis), LFA (Local Feature Analysis) and correlation matching...
  • onlinePCA

  • Referenced in 3 articles [sw21315]
  • package onlinePCA: Online Principal Component Analysis: Online Principal Component Analysis in High Dimension: Which Algorithm ... indispensable to routinely perform tasks like principal component analysis (PCA). Recursive algorithms that update...
  • fpca

  • Referenced in 5 articles [sw21039]
  • package fpca: Restricted MLE for Functional Principal Components Analysis. A geometric approach...
  • MTS

  • Referenced in 4 articles [sw15485]
  • factor models, constrained factor models, asymptotic principal component analysis commonly used in finance and econometrics ... principal volatility component analysis. (a) For the multivariate linear time series analysis, the package performs...
  • Bio3d

  • Referenced in 3 articles [sw15706]
  • sequence conservation analysis, normal mode analysis, principal component analysis of heterogeneous structure data, and correlation...
  • GEPCAM

  • Referenced in 4 articles [sw32770]
  • GEPCAM user’s manual: generalized principal components analysis with missing values...
  • gNCA

  • Referenced in 4 articles [sw08821]
  • transcriptome: identifiability and numerical implementation. Network Component Analysis (NCA) is a network structure-driven framework ... contrast to classical approaches such as principal component analysis or independent component analysis, NCA makes...
  • GSPPCA

  • Referenced in 4 articles [sw25977]
  • sparse probabilistic PCA. Sparse versions of principal component analysis (PCA) have imposed themselves as simple ... unsupervised manner. However, when several sparse principal components are computed, the interpretation of the selected...
  • SpaSM

  • Referenced in 4 articles [sw23903]
  • performing sparse regression, classification and principal component analysis. The toolbox has been developed...