• Statistics Toolbox

  • Referenced in 18 articles [sw10157]
  • simulations, use statistical plots for exploratory data analysis, and perform hypothesis tests. For analyzing multidimensional ... feature selection, transform your data with principal component analysis, apply regularization and shrinkage...
  • Algorithm 971

  • Referenced in 10 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...
  • phytools

  • Referenced in 14 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 14 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...
  • robCompositions

  • Referenced in 13 articles [sw11804]
  • outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis...
  • ADE-4

  • Referenced in 8 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...
  • Isomap

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

  • Referenced in 25 articles [sw36344]
  • Series: Dynamic Functional Principal Components. Implementations of functional dynamic principle components analysis. Related graphic tools ... methods. These methods directly use multivariate dynamic principal components implementation, following the guidelines from Hormann...
  • rsvd

  • Referenced in 7 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...
  • 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 10 articles [sw14129]
  • increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis...
  • MTS

  • Referenced in 6 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...
  • SOFAR

  • Referenced in 7 articles [sw31665]
  • with sparse singular value decomposition, sparse principal component analysis, sparse factor analysis, and spare vector...
  • Gifi

  • Referenced in 6 articles [sw26195]
  • Analysis with Optimal Scaling. Implements categorical principal component analysis (’PRINCALS’), multiple correspondence analysis (’HOMALS...
  • 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...
  • PBAT

  • Referenced in 6 articles [sw10529]
  • vary for each measurement. Using generalized principal component analysis, FBAT-PC amplifies the genetic effects...
  • KFDB

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

  • Referenced in 6 articles [sw32140]
  • show that CIDR improves the standard principal component analysis and outperforms the state...
  • 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...