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

Fitting regression models where, in addition to possible linear terms, one or more covariates have segmented (i.e., broken-line or piece-wise linear) or stepmented (i.e. piece-wise constant) effects. Multiple breakpoints for the same variable 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 Muggeo (2014, <doi:10.1177/1471082X13504721>). Estimation of piecewise-constant relationships and changepoints (mean-shift models) is discussed in Fasola et al. (2018, <doi:10.1007/s00180-017-0740-4>).

Version: 2.0-4
Depends: R (≥ 3.5.0), MASS, nlme
Published: 2024-04-19
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_2.0-4.tar.gz
Windows binaries: r-prerel: segmented_2.0-3.zip, r-release: segmented_2.0-4.zip, r-oldrel: segmented_2.0-4.zip
macOS binaries: r-prerel (arm64): segmented_2.0-4.tgz, r-release (arm64): segmented_2.0-4.tgz, r-oldrel (arm64): segmented_2.0-4.tgz, r-prerel (x86_64): segmented_2.0-4.tgz, r-release (x86_64): segmented_2.0-4.tgz
Old sources: segmented archive

Reverse dependencies:

Reverse imports: AQEval, bioregion, ddiv, lactater, LadderFuelsR, mixtools, netSEM, PUPAK, PVplr, PWEXP, rcssci, respirometry, respR, seqinr, spatialwarnings, StructuralDecompose, SWTools, takos, Trendy, weibulltools
Reverse suggests: fastcpd, nlraa, REddyProc

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