| LDRTools-package {LDRTools} | R Documentation |
Tools for Linear Dimension Reduction
Description
Linear dimension reduction subspaces can be uniquely defined using orthogonal projection matrices. This package provides tools to compute distances between such subspaces and to compute the average subspace. For details see Liski, E.Nordhausen K., Oja H., Ruiz-Gazen A. (2016) Combining Linear Dimension Reduction Subspaces <doi:10.1007/978-81-322-3643-6_7>.
Details
| Package: | LDRTools |
| Type: | Package |
| Title: | Tools for Linear Dimension Reduction |
| Version: | 0.2-2 |
| Date: | 2023-09-17 |
| Authors@R: | c(person("Eero", "Liski", role = "aut"), person("Klaus", "Nordhausen", email = "klausnordhausenR@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3758-8501")), person("Hannu", "Oja", role = c("aut"), comment = c(ORCID = "0000-0002-4945-5976")), person("Anne", "Ruiz-Gazen", role = "aut", comment = c(ORCID = "0000-0001-8970-8061"))) |
| Author: | Eero Liski [aut], Klaus Nordhausen [aut, cre] (<https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut] (<https://orcid.org/0000-0002-4945-5976>), Anne Ruiz-Gazen [aut] (<https://orcid.org/0000-0001-8970-8061>) |
| Maintainer: | Klaus Nordhausen <klausnordhausenR@gmail.com> |
| Depends: | R (>= 3.2.2) |
| Suggests: | dr |
| Description: | Linear dimension reduction subspaces can be uniquely defined using orthogonal projection matrices. This package provides tools to compute distances between such subspaces and to compute the average subspace. For details see Liski, E.Nordhausen K., Oja H., Ruiz-Gazen A. (2016) Combining Linear Dimension Reduction Subspaces <doi:10.1007/978-81-322-3643-6_7>. |
| License: | GPL (>= 2) |
Index of help topics:
AOP Function to Average Orthogonal Projection
Matrices
B2P Function to Compute an Orthogonal Projection
Matrix Based on an Arbitrary Matrix
LDRTools-package Tools for Linear Dimension Reduction
O2P Function to Compute an Orthogonal Projection
Matrix Based on a Matrix with Orthonormal
Columns
Pdist Function to Compute the Distances Between
Orthogonal Projection Matrices
Author(s)
Eero Liski [aut], Klaus Nordhausen [aut, cre] (<https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut] (<https://orcid.org/0000-0002-4945-5976>), Anne Ruiz-Gazen [aut] (<https://orcid.org/0000-0001-8970-8061>)
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>
References
Liski E., Nordhausen K., Oja H., and Ruiz-Gazen A. (2016), Combining Linear Dimension Reduction Subspaces. In: Agostinelli C., Basu A., Filzmoser P., Mukherjee D. (eds) Recent Advances in Robust Statistics: Theory and Applications. doi:10.1007/978-81-322-3643-6_7.