Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects) R package segmented version 2.2-1 CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics) CRAN Task View: Environmetrics (https://CRAN.R-project.org/view=Environmetrics) 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>). Software Depends: R (>= 3.5.0), MASS, nlme Vito M. R. Muggeo <vito.muggeo@unipa.it> Comprehensive R Archive Network (CRAN) Vito M. R. Muggeo [aut, cre] (ORCID: <https://orcid.org/0000-0002-3386-4054>) GPL 2026-01-29 application/tgz https://CRAN.R-project.org/package=segmented doi:10.32614/CRAN.package.segmented