Package: LFM 0.3.4

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.zip(r-4.7-any)LFM_0.3.4.zip(r-4.6-any)LFM_0.3.4.zip(r-4.5-any)
LFM_0.3.4.tgz(r-4.6-any)LFM_0.3.4.tgz(r-4.5-any)
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
DESCRIPTION
card.svg |card.png
LFM/json (API)

# Install 'LFM' in R:
install.packages('LFM', repos = c('https://guangbaog.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.

1.48 score 5 scripts 312 downloads 17 exports 14 dependencies

Last updated from:cac7c4419b. Checks:5 OK, 4 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK177
linux-release-x86_64OK134
macos-release-arm64FAIL67
macos-oldrel-arm64FAIL72
windows-develOK96
windows-releaseFAIL79
windows-oldrelFAIL63
wasm-releaseOK104

Exports:DGulPCDPPCfactor.testsFanPCFtestGulPCIPCLFMOPCPC1PC2PPC1PPC2rlaplaceSAPCSOPCSPC

Dependencies:elasticnetFuzzyNumbersFuzzyNumbers.Ext.2LaplacesDemonlarsmagrittrMASSmatrixcalcrbibutilsRcppRcppArmadilloRdpackrellipticalRyacas