PCDimension

cranv1.1.14

Finding the Number of Significant Principal Components. Implements methods to automate the Auer-Gervini graphical Bayesian approach for determining the number of significant principal components. Automation uses clustering, change points, or simple statistical models to distinguish "long" from "short" steps in a graph showing the posterior number of comp

License Apache License (== 2.0)0 versions1 maintainers8 deps390 weekly dl
https://CRAN.R-project.org/package=PCDimension
41
/ 100
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safe to use

[email protected] is safe to use (health: 41/100)

Health breakdown0 – 100
5/25
maintenance
3/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2025-04-07 22:52:11

Last updated · 2025-04-07T21:20:02+00:00

PCDimension — Health Score 41/100 | DepScope