References in zbMATH (referenced in 47 articles , 1 standard article )

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  1. Abdi, Hervé; Beaton, Derek: Principal component and correspondence analyses using R (to appear) (2021)
  2. Akalin, Altuna: Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen (2021)
  3. Márcio A. Diniz, Gillian Gresham, Sungjim Kim, Michael Luu, N. Lynn Henry, Mourad Tighiouart, Greg Yothers, Patricia Ganz, André Rogatko: Visualizing adverse events using correspondence analysis (2021) arXiv
  4. Derek Beaton: Generalized eigen, singular value, and partial least squares decompositions: The GSVD package (2020) arXiv
  5. Landaluce-Calvo, M. Isabel; Modroño-Herrán, Juan I.: Classification for time series data. An unsupervised approach based on reduction of dimensionality (2020)
  6. Mathieu Emily, Nicolas Sounac, Florian Kroell, Magalie Houée-Bigot: Gene-Based Methods to Detect Gene-Gene Interaction in R: The GeneGeneInteR Package (2020) not zbMATH
  7. Alfonso Iodice D’Enza, Angelos Markos, Michel van de Velden: Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R (2019) not zbMATH
  8. Kim, Se-Kang; Grochowalski, Joseph H.: Exploratory visual inspection of category associations and correlation estimation in multidimensional subspaces (2019)
  9. Kuan-Hao Chao, Yi-Wen Hsiao, Yi-Fang Lee, Chien-Yueh Lee, Liang-Chuan Lai, Mong-Hsun Tsai, Tzu-Pin Lu, Eric Y. Chuang: RNASeqR: an R package for automated two-group RNA-Seq analysis workflow (2019) arXiv
  10. N. Benjamin Erichson, Sergey Voronin, Steven L. Brunton, J. Nathan Kutz: Randomized Matrix Decompositions Using R (2019) not zbMATH
  11. Oleksii Pokotylo; Pavlo Mozharovskyi; Rainer Dyckerhoff: Depth and Depth-Based Classification with R Package ddalpha (2019) not zbMATH
  12. Urbano Lorenzo-Seva; Michel van de Velden: MultipleCar: A Graphical User Interface MATLAB Toolbox to Compute Multiple Correspondence Analysis (2019) not zbMATH
  13. Alfonso Iodice D’Enza, Angelos Markos, Davide Buttarazzi: The idm Package: Incremental Decomposition Methods in R (2018) not zbMATH
  14. Borcard, Daniel; Gillet, François; Legendre, Pierre: Numerical ecology with R (2018)
  15. Dolce, Pasquale; Vinzi, Vincenzo Esposito; Lauro, Natale Carlo: Non-symmetrical composite-based path modeling (2018)
  16. Jin Zhu, Wenliang Pan, Wei Zheng, Xueqin Wang: Ball: An R package for detecting distribution difference and association in metric spaces (2018) arXiv
  17. Stéphanie Bougeard; Stéphane Dray: Supervised Multiblock Analysis in R with the ade4 Package (2018) not zbMATH
  18. Eling, Martin; Loperfido, Nicola: Data breaches: goodness of fit, pricing, and risk measurement (2017)
  19. Fithian, William; Josse, Julie: Multiple correspondence analysis and the multilogit bilinear model (2017)
  20. Husson, François; Lê, Sébastien; Pagès, Jérôme: Exploratory multivariate analysis by example using R (2017)

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