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bpca

R package bpca: Biplot of Multivariate Data Based on Principal Components Analysis. Implements biplot (2d and 3d) of multivariate data based on principal components analysis and diagnostic tools of the quality of the reduction.

Keywords for this software

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  • principal component analysis
  • biplot
  • Procrustes
  • electronic health records
  • R package
  • principal coordinate analysis
  • functional magnetic resonance imaging
  • correspondence analysis
  • longitudinal studies
  • structural equation model
  • Gifi method
  • (K)-nearest neighbors
  • graphical user interface
  • parametric cluster analysis
  • alpha-bag
  • factor analysis
  • data analysis
  • circular non-linear
  • Framingham heart study
  • missing data imputation
  • path analysis
  • Tcl/Tk
  • R
  • reliability coefficient
  • Markov model
  • multidimensional scaling
  • time series data
  • Journal of Statistical Software
  • true score model
  • time series analysis

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: José Cláudio Faria, Clarice Garcia Borges Demétrio; Ivan Bezerra Allaman
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 3 articles )

Showing results 1 to 3 of 3.
y Sorted by year (citations)

  1. Bertsimas, Dimitris; Orfanoudaki, Agni; Pawlowski, Colin: Imputation of clinical covariates in time series (2021)
  2. Mair, Patrick: Modern psychometrics with R (2018)
  3. Anthony la Grange; Niël le Roux; Sugnet Gardner-Lubbe: BiplotGUI: Interactive Biplots in R (2009) not zbMATH

  • Article statistics & filter:

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  • MSC classification / top
    • Top MSC classes
      • 62 Statistics
      • 68 Computer science
      • 91 Game theory, economics,...
      • 92 Applications of...

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