Package: spherepc 0.1.7

spherepc: Spherical Principal Curves

Fitting dimension reduction methods to data lying on two-dimensional sphere. This package provides principal geodesic analysis, principal circle, principal curves proposed by Hauberg, and spherical principal curves. Moreover, it offers the method of locally defined principal geodesics which is underway. The detailed procedures are described in Lee, J., Kim, J.-H. and Oh, H.-S. (2021) <doi:10.1109/TPAMI.2020.3025327>. Also see Kim, J.-H., Lee, J. and Oh, H.-S. (2020) <arxiv:2003.02578>.

Authors:Jongmin Lee [aut, cre], Jang-Hyun Kim [ctb], Hee-Seok Oh [aut]

spherepc_0.1.7.tar.gz
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spherepc_0.1.7.tgz(r-4.4-any)spherepc_0.1.7.tgz(r-4.3-any)
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spherepc.pdf |spherepc.html
spherepc/json (API)

# Install 'spherepc' in R:
install.packages('spherepc', repos = c('https://jongminlee-stat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 4 scripts 227 downloads 21 exports 34 dependencies

Last updated 3 years agofrom:71ff6558eb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-winOKOct 14 2024
R-4.5-linuxOKOct 14 2024
R-4.4-winOKOct 14 2024
R-4.4-macOKOct 14 2024
R-4.3-winOKOct 14 2024
R-4.3-macOKOct 14 2024

Exports:Cal.reconCrossprodDist.ptExpmapExtrinsicMeanGenerateCircleIntrinsicMeanKernel.GaussianKernel.indicatorKernel.quarticLogmapLPGPGAPrincipalCircleProj.HaubergRotateRotate.invSPCSPC.HaubergTrans.EuclidTrans.sph

Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefsgeospheregluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclemagrittrmemoisemimeR6rappdirsRcpprglrlangrmarkdownsassspsphereplottinytexxfunyaml