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primePCA: Projected Refinement for Imputation of Missing Entries in PCA

Implements the primePCA algorithm, developed and analysed in Zhu, Z., Wang, T. and Samworth, R. J. (2019) High-dimensional principal component analysis with heterogeneous missingness. <doi:10.48550/arXiv.1906.12125>.

Version: 1.2
Imports: softImpute, Matrix, MASS, methods
Published: 2021-08-05
Author: Ziwei Zhu, Tengyao Wang, Richard J. Samworth
Maintainer: Ziwei Zhu <ziweiz at umich.edu>
License: GPL-3
NeedsCompilation: no
In views: MissingData
CRAN checks: primePCA results

Documentation:

Reference manual: primePCA.pdf

Downloads:

Package source: primePCA_1.2.tar.gz
Windows binaries: r-devel: primePCA_1.2.zip, r-release: primePCA_1.2.zip, r-oldrel: primePCA_1.2.zip
macOS binaries: r-release (arm64): primePCA_1.2.tgz, r-oldrel (arm64): primePCA_1.2.tgz, r-release (x86_64): primePCA_1.2.tgz, r-oldrel (x86_64): primePCA_1.2.tgz
Old sources: primePCA archive

Linking:

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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.
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