segmented: Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects) (original) (raw)
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: | 2.1-3 |
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Depends: | R (≥ 3.5.0), MASS, nlme |
Published: | 2024-10-25 |
DOI: | 10.32614/CRAN.package.segmented |
Author: | Vito M. R. Muggeo [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: | |
In views: | Econometrics, Environmetrics |
CRAN checks: | segmented results |
Documentation:
Downloads:
Reverse dependencies:
Reverse imports: | AQEval, bioregion, ddiv, lactater, LadderFuelsR, mixtools, netSEM, PUPAK, PVplr, PWEXP, rcssci, ReliaGrowR, respirometry, respR, RHRV, seqinr, spatialwarnings, StructuralDecompose, SWTools, takos, Trendy, weibulltools |
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Reverse suggests: | nlraa, REddyProc |
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