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)LFM_0.3.4.zip(r-4.6)LFM_0.3.4.zip(r-4.5)
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
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.

1.60 score 5 scripts 21 downloads 17 exports 14 dependencies

Last updated from:cac7c4419b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK168
source / vignettesOK159
linux-release-x86_64OK158
macos-release-arm64OK125
macos-oldrel-arm64OK121
windows-develOK90
windows-releaseOK93
windows-oldrelOK105
wasm-releaseOK109

Exports:DGulPCDPPCfactor.testsFanPCFtestGulPCIPCLFMOPCPC1PC2PPC1PPC2rlaplaceSAPCSOPCSPC

Dependencies:elasticnetFuzzyNumbersFuzzyNumbers.Ext.2LaplacesDemonlarsmagrittrMASSmatrixcalcrbibutilsRcppRcppArmadilloRdpackrellipticalRyacas