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: 2026-06-10 03:18:48 UTC; R7000
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Date/Publication: 2026-06-10 12:10:22 UTC
Built: R 4.6.0; ; 2026-06-10 16:15:25 UTC; unix
