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dimensio: Multivariate Data Analysis
Simple Principal Components Analysis (PCA) and (Multiple) Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et al. (2006, ISBN: 978-2-10-049616-7).
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Package details |
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| Author | Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>, Université Bordeaux Montaigne), Jean-Baptiste Fourvel [ctb] (<https://orcid.org/0000-0002-1061-4642>, CNRS), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>, Logo designer), Université Bordeaux Montaigne [fnd], CNRS [fnd] |
| Maintainer | Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr> |
| License | GPL (>= 3) |
| Version | 0.9.0 |
| URL | https://packages.tesselle.org/dimensio/ https://github.com/tesselle/dimensio |
| Package repository | View on CRAN |
| Installation |
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