Package: EFM 1.3.0
EFM: Elliptical Factor Models
The elliptical factor model, as an extension of the traditional factor model, effectively overcomes the limitations of the traditional model when dealing with heavy-tailed characteristic data. This package implements sparse principal component methods (SPC) and bi-sparse online principal component estimation (SPOC) for parameter estimation. Includes functionality for calculating mean squared error, relative error, and loading matrix sparsity.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
Authors:
EFM_1.3.0.tar.gz
EFM_1.3.0.zip(r-4.7)EFM_1.3.0.zip(r-4.6)EFM_1.3.0.zip(r-4.5)
EFM_1.3.0.tgz(r-4.6-any)EFM_1.3.0.tgz(r-4.5-any)
EFM_1.3.0.tar.gz(r-4.7-any)EFM_1.3.0.tar.gz(r-4.6-any)
EFM_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
EFM/json (API)
| # Install 'EFM' in R: |
| install.packages('EFM', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8b08f93fa3. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 114 | ||
| source / vignettes | OK | 160 | ||
| linux-release-x86_64 | OK | 107 | ||
| macos-release-arm64 | OK | 83 | ||
| macos-oldrel-arm64 | OK | 90 | ||
| windows-devel | OK | 112 | ||
| windows-release | OK | 80 | ||
| windows-oldrel | OK | 75 | ||
| wasm-release | OK | 101 |
Exports:EFMelliptical_errorsFanPC.EFMPC1.EFMPPC1.EFMSOPC.EFM
Dependencies:elasticnetlarsmagrittrMASSmatrixcalcSOPC
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The EFM function is to generate Elliptical Factor Models data. | EFM |
| Calculate errors for elliptical distributions | elliptical_errors |
| Apply the FanPC method to the Elliptical Factor Model | FanPC.EFM |
| Incremental Perturbation PCA | incremental_perturb_pca |
| Apply the PC method to the Elliptical Factor Model | PC1.EFM |
| PPC: Principal Projection Components | PPC |
| Apply the PPC method to the Elliptical Factor Model | PPC1.EFM |
| Random Perturbation Robust PCA | robust_perturb_pca |
| SOPC Estimation Function for Elliptical Factor Model | SOPC.EFM |
