Package: FPCdpca 0.1.0
FPCdpca: The FPCdpca Criterion on Distributed Principal Component Analysis
We consider optimal subset selection in the setting that one needs to use only one data subset to represent the whole data set with minimum information loss, and devise a novel intersection-based criterion on selecting optimal subset, called as the FPC criterion, to handle with the optimal sub-estimator in distributed principal component analysis; That is, the FPCdpca. The philosophy of the package is described in Guo G. (2020) <doi:10.1007/s00180-020-00974-4>.
Authors:
FPCdpca_0.1.0.tar.gz
FPCdpca_0.1.0.zip(r-4.5)FPCdpca_0.1.0.zip(r-4.4)FPCdpca_0.1.0.zip(r-4.3)
FPCdpca_0.1.0.tgz(r-4.4-any)FPCdpca_0.1.0.tgz(r-4.3-any)
FPCdpca_0.1.0.tar.gz(r-4.5-noble)FPCdpca_0.1.0.tar.gz(r-4.4-noble)
FPCdpca_0.1.0.tgz(r-4.4-emscripten)FPCdpca_0.1.0.tgz(r-4.3-emscripten)
FPCdpca.pdf |FPCdpca.html✨
FPCdpca/json (API)
| # Install 'FPCdpca' in R: |
| install.packages('FPCdpca', 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 6 months agofrom:033270ac6f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
| R-4.4-win | OK | Oct 25 2024 |
| R-4.4-mac | OK | Oct 25 2024 |
| R-4.3-win | OK | Oct 25 2024 |
| R-4.3-mac | OK | Oct 25 2024 |
Exports:DepcaDpcaDrpDrpcaDrsvdDsvdFPC
Dependencies:ADMMbase64encbitbit64bslibcachemclarabelcliclustercodetoolsCVXRdbscandigestdoParallelECOSolveRevaluatefastclusterfastmapfontawesomeforeachfsgenericsgluegmphighrhtmltoolshtmlwidgetsiteratorsjquerylibjsonliteknitrlabdsvlatticelifecyclemagrittrmaotaiMASSMatrixmatrixcalcmclustcompmemoisemgcvmimeminpack.lmnlmeosqppracmaR6RANNrappdirsrbibutilsRcppRcppArmadilloRcppDERcppDistRcppEigenRdimtoolsRdpackrglrlangrmarkdownRmpfrRSpectrarsvdRtsnesassscatterplot3dscsshapestinytexxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Decentralized PCA | Depca |
| Distributed PCA | Dpca |
| Distributed random projection | Drp |
| Distributed random PCA | Drpca |
| Distributed random svd | Drsvd |
| Distributed svd | Dsvd |
| FPC | FPC |
