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primePCA  

Projected Refinement for Imputation of Missing Entries in PCA
View on CRAN: Click here


Download and install primePCA package within the R console
Install from CRAN:
install.packages("primePCA")

Install from Github:
library("remotes")
install_github("cran/primePCA")

Install by package version:
library("remotes")
install_version("primePCA", "1.2")



Attach the package and use:
library("primePCA")
Maintained by
Ziwei Zhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-02
Latest Update: 2021-08-05
Description:
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. .
How to cite:
Ziwei Zhu (2019). primePCA: Projected Refinement for Imputation of Missing Entries in PCA. R package version 1.2, https://cran.r-project.org/web/packages/primePCA. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0 (2019-07-02 18:30), 1.1 (2021-05-31 23:30)
Other packages that cited primePCA R package
View primePCA citation profile
Other R packages that primePCA depends, imports, suggests or enhances
Complete documentation for primePCA
Functions, R codes and Examples using the primePCA R package
Some associated functions: col_scale . inverse_prob_method . primePCA . sin_theta_distance . 
Some associated R codes: code_full_new.R .  Full primePCA package functions and examples
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