Laplace Factor Model Analysis and Evaluation R package LFM version 0.3.4 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. Software Depends: R (>= 3.5.0) Imports: stats, MASS, LaplacesDemon, matrixcalc, relliptical, elasticnet Suggests: testthat (>= 3.0.0) Guangbao Guo <ggb11111111@163.com> Comprehensive R Archive Network (CRAN) Guangbao Guo [aut, cre], Siqi Liu [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=LFM/LICENSE) 2026-06-10 application/tgz https://CRAN.R-project.org/package=LFM doi:10.32614/CRAN.package.LFM en-US