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LFM  

Laplace Factor Model Analysis and Evaluation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LFM", "0.2.0")



Attach the package and use:
library("LFM")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
First Published: 2024-11-19
Latest Update: 2024-11-19
Description:
Enables the generation of Laplace factor models across diverse Laplace distributions and facilitates the application of Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Parallel Principal Component (PPC), Sparse Approximate Principal Component (SAPC), Standard Principal Component (SPC), and Farm Test methods to these models. Evaluates the efficacy of these methods within the context of Laplace factor models by scrutinizing parameter estimation accuracy, mean square error, and the degree of sparsity.
How to cite:
Guangbao Guo (2024). LFM: Laplace Factor Model Analysis and Evaluation. R package version 0.2.0, https://cran.r-project.org/web/packages/LFM. Accessed 03 Apr. 2025.
Previous versions and publish date:
0.1.0 (2024-11-19 13:30)
Other packages that cited LFM R package
View LFM citation profile
Other R packages that LFM depends, imports, suggests or enhances
Complete documentation for LFM
Functions, R codes and Examples using the LFM R package
Full LFM package functions and examples
Downloads during the last 30 days
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