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SOPC  

The Sparse Online Principal Component Estimation Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SOPC", "0.1.0")



Attach the package and use:
library("SOPC")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-17
Latest Update: 2023-05-07
Description:
The sparse online principal component can not only process the online data set, but also obtain a sparse solution of the online data set. The philosophy of the package is described in Guo G. (2022) <doi:10.1007/s00180-022-01270-z>.
How to cite:
Guangbao Guo (2021). SOPC: The Sparse Online Principal Component Estimation Algorithm. R package version 0.1.0, https://cran.r-project.org/web/packages/SOPC. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.0.1 (2021-09-17 10:10), 0.0.2 (2022-04-04 07:30), 0.0.3 (2022-04-16 15:12), 0.0.4 (2022-08-29 08:40)
Other packages that cited SOPC R package
View SOPC citation profile
Other R packages that SOPC depends, imports, suggests or enhances
Complete documentation for SOPC
Functions, R codes and Examples using the SOPC R package
Some associated functions: Heart . Hugging . IPC . OPC . PC . PPC . PSA . SAPC . SOPC . SPC . 
Some associated R codes: IPC.R . OPC.R . PC.R . PPC.R . SAPC.R . SOPC.R . SPC.R .  Full SOPC package functions and examples
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