Package: primePCA 1.2

Ziwei Zhu

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. <arxiv:1906.12125>.

Authors:Ziwei Zhu, Tengyao Wang, Richard J. Samworth

primePCA_1.2.tar.gz
primePCA_1.2.tar.gz(r-4.5-noble)primePCA_1.2.tar.gz(r-4.4-noble)
primePCA_1.2.tgz(r-4.4-emscripten)primePCA_1.2.tgz(r-4.3-emscripten)
primePCA.pdf |primePCA.html✨
primePCA/json (API)

# Install 'primePCA' in R:
install.packages('primePCA', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 256 downloads 4 exports 4 dependencies

Last updated 4 years agofrom:5986afa764. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-linuxOKMar 10 2025

Exports:col_scaleinverse_prob_methodprimePCAsin_theta_distance

Dependencies:latticeMASSMatrixsoftImpute

Citation

To cite package ‘primePCA’ in publications use:

Zhu Z, Wang T, Samworth RJ (2021). primePCA: Projected Refinement for Imputation of Missing Entries in PCA. R package version 1.2, https://CRAN.R-project.org/package=primePCA.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {primePCA: Projected Refinement for Imputation of Missing
      Entries in PCA},
    author = {Ziwei Zhu and Tengyao Wang and Richard J. Samworth},
    year = {2021},
    note = {R package version 1.2},
    url = {https://CRAN.R-project.org/package=primePCA},
  }