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BMconcor
View on CRAN: Click
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Download and install BMconcor package within the R console
Install from CRAN:
install.packages("BMconcor")
Install from Github:
library("remotes")
install_github("cran/BMconcor")
Install by package version:
library("remotes")
install_version("BMconcor", "2.0.0")
Attach the package and use:
library("BMconcor")
Maintained by
Fabio Ashtar Telarico
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First Published: 2024-05-02
Latest Update: 2024-05-02
Description:
The four functions svdcp() ('cp' for column partitioned), svdbip() or svdbip2() ('bip' for bipartitioned), and svdbips() ('s' for a simultaneous optimization of a set of 'r' solutions), correspond to a singular value decomposition (SVD) by blocks notion, by supposing each block depending on relative subspaces, rather than on two whole spaces as usual SVD does. The other functions, based on this notion, are relative to two column partitioned data matrices x and y defining two sets of subsets x_i and y_j of variables and amount to estimate a link between x_i and y_j for the pair (x_i, y_j) relatively to the links associated to all the other pairs. These methods were first presented in: Lafosse R. & Hanafi M.,(1997) <https://eudml.org/doc/106424> and Hanafi M. & Lafosse, R. (2001) <https://eudml.org/doc/106494>.
How to cite:
Fabio Ashtar Telarico (2024). BMconcor: CONCOR for Structural- And Regular-Equivalence Blockmodeling. R package version 2.0.0, https://cran.r-project.org/web/packages/BMconcor. Accessed 07 Nov. 2024.
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