Package: LFM 0.3.4

Guangbao Guo

LFM: Laplace Factor Model Analysis and Evaluation

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), Perturbation Principal Component (PPC), Stochastic Approximation Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods 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.

Authors:Guangbao Guo [aut, cre], Siqi Liu [aut]

LFM_0.3.4.tar.gz
LFM_0.3.4.tar.gz(r-4.7-any)LFM_0.3.4.tar.gz(r-4.6-any)
LFM_0.3.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
LFM/json (API)

# Install 'LFM' in R:
install.packages('LFM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

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

1.60 score 5 scripts 9 downloads 17 exports 14 dependencies

Last updated from:cac7c4419b. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK163
source / vignettesOK220
linux-release-x86_64OK248
wasm-releaseOK139

Exports:DGulPCDPPCfactor.testsFanPCFtestGulPCIPCLFMOPCPC1PC2PPC1PPC2rlaplaceSAPCSOPCSPC

Dependencies:elasticnetFuzzyNumbersFuzzyNumbers.Ext.2LaplacesDemonlarsmagrittrMASSmatrixcalcrbibutilsRcppRcppArmadilloRdpackrellipticalRyacas