cpop: Detection of Multiple Changes in Slope in Univariate Time-Series

Detects multiple changes in slope using the CPOP dynamic programming approach of Fearnhead, Maidstone, and Letchford (2018) <doi:10.1080/10618600.2018.1512868>. This method finds the best continuous piecewise linear fit to data under a criterion that measures fit to data using the residual sum of squares, but penalizes complexity based on an L0 penalty on changes in slope.

Version:	1.0.3
Depends:	R (≥ 3.5.0), crops, pacman
Imports:	Rdpack, methods, Rcpp (≥ 0.12.13), ggplot2, mathjaxr, pracma
LinkingTo:	Rcpp
Suggests:	testthat, R.rsp
Published:	2022-08-23
Author:	Daniel Grose [aut, cre], Paul Fearnhead [aut]
Maintainer:	Daniel Grose <dan.grose at lancaster.ac.uk>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	cpop results

Documentation:

Reference manual:	cpop.pdf
Vignettes:	Using cpop

Downloads:

Package source:	cpop_1.0.3.tar.gz
Windows binaries:	r-devel: cpop_1.0.3.zip, r-release: cpop_1.0.3.zip, r-oldrel: cpop_1.0.3.zip
macOS binaries:	r-release (arm64): cpop_1.0.3.tgz, r-oldrel (arm64): cpop_1.0.3.tgz, r-release (x86_64): cpop_1.0.3.tgz, r-oldrel (x86_64): cpop_1.0.3.tgz
Old sources:	cpop archive

Linking:

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