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-4.5-any)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'))
Datasets:

On CRAN:

Conda:

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 265 downloads 21 exports 34 dependencies

Last updated 3 years agofrom:71ff6558eb. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-winOKMar 13 2025
R-4.5-macOKMar 13 2025
R-4.5-linuxOKMar 13 2025
R-4.4-winOKMar 13 2025
R-4.4-macOKMar 13 2025
R-4.4-linuxOKMar 13 2025
R-4.3-winOKMar 13 2025
R-4.3-macOKMar 13 2025

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

Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefsgeospheregluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclemagrittrmemoisemimeR6rappdirsRcpprglrlangrmarkdownsassspsphereplottinytexxfunyaml