Package: LFM
Type: Package
Title: Laplace Factor Model Analysis and Evaluation
Date: 2026-6-10
Version: 0.3.4
Authors@R: c(person(given = "Guangbao",
                        family = "Guo",
                        role = c("aut", "cre"),
                        email = "ggb11111111@163.com"),
                 person(given = "Siqi",
                        family = "Liu",
                        role = "aut"))
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), 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: stats, MASS, LaplacesDemon, matrixcalc, relliptical,
        elasticnet
NeedsCompilation: no
Language: en-US
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Depends: R (>= 3.5.0)
LazyData: true
BuildManual: yes
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Packaged: 2026-06-11 10:38:23 UTC; root
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: https://guangbaog.r-universe.dev
Date/Publication: 2026-06-10 12:10:22 UTC
RemoteUrl: https://github.com/cran/LFM
RemoteRef: HEAD
RemoteSha: cac7c4419b7ee2ce6f4e43682721294c49af33e7