Package: fpopw 1.1

fpopw: Weighted Segmentation using Functional Pruning and Optimal Partioning

Weighted-L2 FPOP Maidstone et al. (2017) <doi:10.1007/s11222-016-9636-3> and pDPA/FPSN Rigaill (2010) <arxiv:1004.0887> algorithm for detecting multiple changepoints in the mean of a vector. Also includes a few model selection functions using Lebarbier (2005) <doi:10.1016/j.sigpro.2004.11.012> and the 'capsushe' package.

Authors:Guillem Rigaill [aut, cre]

fpopw_1.1.tar.gz
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fpopw.pdf |fpopw.html✨
fpopw/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

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

1.78 score 2 packages 2 scripts 253 downloads 18 exports 0 dependencies

Last updated 2 years agofrom:32d5b73a36. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-win-x86_64OKNov 18 2024
R-4.5-linux-x86_64OKNov 18 2024
R-4.4-win-x86_64OKNov 18 2024
R-4.4-mac-x86_64OKNov 18 2024
R-4.4-mac-aarch64OKNov 18 2024
R-4.3-win-x86_64OKNov 18 2024
R-4.3-mac-x86_64OKNov 18 2024
R-4.3-mac-aarch64OKNov 18 2024

Exports:compress.dataFpopFpop_wFpsnFpsn_wFpsn_w_nomemoryget.changegetSegSums_getSMTgetSMT_getTau_nomemoryretour_opretour_snsautsdDiffselect_Fpsnuncompress.smtuncompress.vec

Dependencies: