Name
Abstract | ||
|---|---|---|
ExPosition is a new comprehensive R package providing crisp graphics and implementing multivariate analysis methods based on the singular value decomposition (svd). The core techniques implemented in ExPosition are: principal components analysis, (metric) multidimensional scaling, correspondence analysis, and several of their recent extensions such as barycentric discriminant analyses (e.g., discriminant correspondence analysis), multi-table analyses (e.g.,multiple factor analysis, Statis, and distatis), and non-parametric resampling techniques (e.g., permutation and bootstrap). Several examples highlight the major differences between ExPosition and similar packages. Finally, the future directions of ExPosition are discussed. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.csda.2013.11.006 | Computational Statistics & Data Analysis |
Keywords | Field | DocType |
crisp graphics,core technique,multiple factor analysis,singular value decomposition,principal components analysis,barycentric discriminant analysis,multivariate analysis method,future direction,correspondence analysis,multi-table analysis,discriminant correspondence analysis,r,partial least squares,bootstrap | Econometrics,Singular value decomposition,Multiple correspondence analysis,Multidimensional scaling,Discriminant,Multiple factor analysis,Correspondence analysis,Statistics,Resampling,Principal component analysis,Mathematics | Journal |
Volume | ISSN | Citations |
72, | 0167-9473 | 1 |
PageRank | References | Authors |
0.63 | 21 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Derek Beaton | 1 | 47 | 5.52 |
| Cherise R. Chin Fatt | 2 | 1 | 0.63 |
| Hervé Abdi | 3 | 547 | 71.27 |