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>).
