segmented: Regression Models with Break-Points / Change-Points (with Possibly Random Effects) Estimation

Given a regression model, segmented ‘updates’ it by adding one or more segmented (i.e., piece-wise linear) relationships. Several variables with multiple breakpoints are allowed. The estimation method is discussed in Muggeo (2003, <doi:10.1002/sim.1545>) and illustrated in Muggeo (2008, <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>). An approach for hypothesis testing is presented in Muggeo (2016, <doi:10.1080/00949655.2016.1149855>), and interval estimation for the breakpoint is discussed in Muggeo (2017, <doi:10.1111/anzs.12200>). Segmented mixed models, i.e. random effects in the change point, are discussed in in Muggeo (2014, <doi:10.1177/1471082X13504721>).

Version: 1.6-0
Depends: MASS, nlme
Published: 2022-05-31
Author: Vito M. R. Muggeo ORCID iD [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo at unipa.it>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Citation: segmented citation info
Materials: NEWS
In views: Econometrics, Environmetrics
CRAN checks: segmented results

Documentation:

Reference manual: segmented.pdf

Downloads:

Package source: segmented_1.6-0.tar.gz
Windows binaries: r-devel: segmented_1.6-0.zip, r-release: segmented_1.6-0.zip, r-oldrel: segmented_1.6-0.zip
macOS binaries: r-release (arm64): segmented_1.6-0.tgz, r-oldrel (arm64): segmented_1.6-0.tgz, r-release (x86_64): segmented_1.6-0.tgz, r-oldrel (x86_64): segmented_1.6-0.tgz
Old sources: segmented archive

Reverse dependencies:

Reverse imports: AQEval, ddiv, lactater, mixtools, netSEM, PCRedux, PUPAK, PVplr, respirometry, respR, seqinr, spatialwarnings, SWTools, takos, Trendy, weibulltools
Reverse suggests: nlraa, REddyProc

Linking:

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