prinsimp: Finding and plotting simple basis vectors for multivariate data

Provides capabilities beyond principal components analysis to focus on finding structure in low variability subspaces. Constructs and plots simple basis vectors for pre-defined and user-defined measures of simplicity.

AuthorDavor Cubranic, Jonathan Zhang, Nancy Heckman, Travis Gaydos, and J.S. Marron
Date of publication2013-11-02 01:21:46
MaintainerDavor Cubranic <cubranic@stat.ubc.ca>
LicenseAGPL-3
Version0.8-8

View on CRAN

Files

prinsimp
prinsimp/inst
prinsimp/inst/doc
prinsimp/inst/doc/Prinsimp-introduction.Rnw
prinsimp/inst/doc/Prinsimp-introduction.pdf
prinsimp/NAMESPACE
prinsimp/demo
prinsimp/demo/periodic.R
prinsimp/demo/00Index
prinsimp/data
prinsimp/data/caterpillar.RData
prinsimp/R
prinsimp/R/periodic.R prinsimp/R/plot.R prinsimp/R/print.R prinsimp/R/simpart.R prinsimp/R/divided-differences.R
prinsimp/vignettes
prinsimp/vignettes/Makefile
prinsimp/vignettes/Prinsimp-introduction.Rnw
prinsimp/MD5
prinsimp/build
prinsimp/build/vignette.rds
prinsimp/DESCRIPTION
prinsimp/man
prinsimp/man/prinsimp-package.Rd prinsimp/man/simpart.Rd prinsimp/man/varsimp.Rd prinsimp/man/basisplot.Rd prinsimp/man/varperc.Rd prinsimp/man/summary.simpart.Rd prinsimp/man/print.simpart.Rd prinsimp/man/caterpillar.Rd prinsimp/man/plot.simpart.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.