PCDimension
cranv1.1.14Finding 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=PCDimension41
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curl https://depscope.dev/api/check/cran/PCDimensionFirst published · 2025-04-07 22:52:11
Last updated · 2025-04-07T21:20:02+00:00