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
fpopw_1.1.zip(r-4.7)fpopw_1.1.zip(r-4.6)fpopw_1.1.zip(r-4.5)
fpopw_1.1.tgz(r-4.6-x86_64)fpopw_1.1.tgz(r-4.6-arm64)fpopw_1.1.tgz(r-4.5-x86_64)fpopw_1.1.tgz(r-4.5-arm64)
fpopw_1.1.tar.gz(r-4.7-arm64)fpopw_1.1.tar.gz(r-4.7-x86_64)fpopw_1.1.tar.gz(r-4.6-arm64)fpopw_1.1.tar.gz(r-4.6-x86_64)
fpopw_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fpopw/json (API)

# Install 'fpopw' in R:
install.packages('fpopw', repos = c('https://guillemr.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.78 score 1 stars 2 packages 5 scripts 206 downloads 18 exports 0 dependencies

Last updated from:32d5b73a36. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK105
linux-devel-x86_64OK106
source / vignettesOK116
linux-release-arm64OK102
linux-release-x86_64OK95
macos-release-arm64OK175
macos-release-x86_64OK203
macos-oldrel-arm64OK225
macos-oldrel-x86_64OK299
windows-develOK82
windows-releaseOK92
windows-oldrelOK67
wasm-releaseOK84

Exports:compress.dataFpopFpop_wFpsnFpsn_wFpsn_w_nomemoryget.changegetSegSums_getSMTgetSMT_getTau_nomemoryretour_opretour_snsautsdDiffselect_Fpsnuncompress.smtuncompress.vec

Dependencies: