Package: segmented 2.1-3
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>).
Authors:
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segmented.pdf |segmented.html✨
segmented/json (API)
NEWS
# Install 'segmented' in R: |
install.packages('segmented', repos = c('https://vitomuggeo.r-universe.dev', 'https://cloud.r-project.org')) |
- down - Down syndrome in babies
- globTempAnom - Global temperature anomalies 1850-2023
- plant - Plan organ dataset
- stagnant - Stagnant band height data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 days agofrom:563e9916f6. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-win | OK | Oct 26 2024 |
R-4.5-linux | OK | Oct 26 2024 |
R-4.4-win | OK | Oct 26 2024 |
R-4.4-mac | OK | Oct 26 2024 |
R-4.3-win | OK | Oct 26 2024 |
R-4.3-mac | OK | Oct 26 2024 |
Exports:aapcbroken.linecoef.segmentedconfint.segmentedconfint.segmented.lmedavies.testdraw.historyfitted.segmented.lmefixef.segmented.lmeinterceptlines.segmentedlogLik.segmented.lmemodel.matrix.segmentedmodel.matrix.stepmentedplot.segmentedplot.segmented.lmeplot.stepmentedpoints.segmentedpredict.segmentedpredict.stepmentedprint.segmentedprint.segmented.lmeprint.stepmentedprint.summary.segmentedprint.summary.stepmentedpscore.testpwr.segsegseg.Ar.fitseg.Ar.fit.bootseg.controlseg.def.fitseg.def.fit.bootseg.glm.fitseg.glm.fit.bootseg.lm.fitseg.lm.fit.bootseg.num.fitseg.num.fit.bootsegmentedsegmented.Arimasegmented.defaultsegmented.glmsegmented.lmsegmented.lmesegmented.numericsegregselgmentedslopestep.glm.fitstep.glm.fit.bootstep.lm.fitstep.lm.fit.bootstep.num.fitstep.num.fit.bootstep.ts.fitstep.ts.fit.bootstepmentedstepmented.glmstepmented.lmstepmented.numericstepmented.tsstepregsummary.segmentedsummary.segmented.lmesummary.stepmentedvcov.segmentedvcov.segmented.lmevcov.stepmented