Package: fpop 2019.08.26

fpop: Segmentation using Optimal Partitioning and Function Pruning

A dynamic programming algorithm for the fast segmentation of univariate signals into piecewise constant profiles. The 'fpop' package is a wrapper to a C++ implementation of the fpop (Functional Pruning Optimal Partioning) algorithm described in Maidstone et al. 2017 <doi:10.1007/s11222-016-9636-3>. The problem of detecting changepoints in an univariate sequence is formulated in terms of minimising the mean squared error over segmentations. The fpop algorithm exactly minimizes the mean squared error for a penalty linear in the number of changepoints.

Authors:Guillem Rigaill [aut, cre], Toby Hocking [aut], Robert Maidstone [aut], Michel Koskas [ctb], Paul Fearnhead [aut]

fpop_2019.08.26.tar.gz
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fpop.pdf |fpop.html
fpop/json (API)
NEWS

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

On CRAN:

Conda-Forge:

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

cpp

1.00 score 9 scripts 264 downloads 2 exports 0 dependencies

Last updated 6 years agofrom:855c14826b. Checks:4 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 01 2025
R-4.5-win-x86_64NOTEMar 01 2025
R-4.5-mac-x86_64NOTEMar 01 2025
R-4.5-mac-aarch64NOTEMar 01 2025
R-4.5-linux-x86_64NOTEMar 01 2025
R-4.4-win-x86_64NOTEMar 01 2025
R-4.4-mac-x86_64NOTEMar 01 2025
R-4.4-mac-aarch64NOTEMar 01 2025
R-4.3-win-x86_64OKMar 01 2025
R-4.3-mac-x86_64OKMar 01 2025
R-4.3-mac-aarch64OKMar 01 2025

Exports:FpopmultiBinSeg

Dependencies: