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_2019.08.26.tgz(r-4.6-x86_64)fpop_2019.08.26.tgz(r-4.6-arm64)fpop_2019.08.26.tgz(r-4.5-x86_64)fpop_2019.08.26.tgz(r-4.5-arm64)
fpop_2019.08.26.tar.gz(r-4.7-arm64)fpop_2019.08.26.tar.gz(r-4.7-x86_64)fpop_2019.08.26.tar.gz(r-4.6-arm64)fpop_2019.08.26.tar.gz(r-4.6-x86_64)
fpop_2019.08.26.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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:

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

cpp

1.04 score 11 scripts 219 downloads 2 exports 0 dependencies

Last updated from:855c14826b. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE114
linux-devel-x86_64NOTE97
source / vignettesOK116
linux-release-arm64NOTE94
linux-release-x86_64NOTE79
macos-release-arm64NOTE86
macos-release-x86_64NOTE180
macos-oldrel-arm64NOTE161
macos-oldrel-x86_64NOTE273
windows-develNOTE61
windows-releaseNOTE64
windows-oldrelNOTE69
wasm-releaseOK92

Exports:FpopmultiBinSeg

Dependencies: