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Perform 1-dim/2-dim projection pursuit, grand tour and guided tour for big data based on data nuggets. Reference papers: [1] Beavers et al., (2024) <doi:10.1080/10618600.2024.2341896>. [2] Duan, Y., Cabrera, J., & Emir, B. (2023). "A New Projection Pursuit Index for Big Data." <doi:10.48550/arXiv.2312.06465>.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.0), stats, datanugget (≥ 1.2.4), MASS |
| Imports: | dplyr, magrittr, weights, rstiefel, gtools, tourr, mclust, graphics, grDevices |
| Published: | 2024-04-30 |
| DOI: | 10.32614/CRAN.package.PPbigdata |
| Author: | Yajie Duan [aut, cre], Javier Cabrera [aut] |
| Maintainer: | Yajie Duan <yajieritaduan at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | PPbigdata results |
| Reference manual: | PPbigdata.pdf |
| Package source: | PPbigdata_1.0.0.tar.gz |
| Windows binaries: | r-devel: PPbigdata_1.0.0.zip, r-release: PPbigdata_1.0.0.zip, r-oldrel: PPbigdata_1.0.0.zip |
| macOS binaries: | r-release (arm64): PPbigdata_1.0.0.tgz, r-oldrel (arm64): PPbigdata_1.0.0.tgz, r-release (x86_64): PPbigdata_1.0.0.tgz, r-oldrel (x86_64): PPbigdata_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.