GraphPCA
1.1Graphical Tools of Histogram PCA
Overview
Histogram principal components analysis is the generalization of the PCA. Histogram data are adapted to design complex and big data which histograms used as variables (big data adapter). Functions implemented provides numerical and graphical tools of an extension of PCA. Sun Makosso Kallyth (2016) doi:10.1002/sam.11270. Sun Makosso Kallyth and Edwin Diday (2012) doi:10.1007/s11634-012-0108-0.
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2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2024-04-20issues were not corrected despite reminders
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.12018-04-13 · diff ↗
- unarchivedReturned to CRAN2018-04-13
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- archivedRemoved from CRAN2016-01-27check problems were not corrected despite reminders
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 1.02014-03-21
Show 1 earlier events
- RR 3.0.0 released · 2013-04-03
Package metadata
- Total releases
- 2
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.15.1
- Bundled data
- 888 KB / 2 files
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