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CPS2106 Julio M. Singer et al.












                         Figure 1: Profile plots for the response along with LOESS curves

                      This is an extension of the models proposed by Muggeo et al. (2014) where
                  a smooth transition and a second changepoint are incorporated. For the sake
                  of notational simplicity and without loss of generality, we drop the subscript i
                  to specify the the fitting algorithm.
                      Given that ψ2j corresponds to the instant tk where yjk = 0, we have I(tk < ψ2j)
                  = 1 and I(ψ1j ≤ tk < ψ2j) = 1 and consequently, that αj + {γj[ψ2j − ψ1j(λj)] } = 0,
                                                                                       2
                  implying that




                      Following Muggeo et al. (2014) and Fasola et al. (2018), the model, which
                  is non-linear, may be approximated by a first order Taylor expansion of
                  f[tk,γj,ψ1j(λj)] = γj[tk − ψ1j(λj)]2I(ψ1j ≤ tk < ψ2j).
                  Explicitly,



                  with






                  and
                         Consequently we may approximate model (1) by

                                                                                       .  (2)
                  Considering the pseudo observations defined by
                  the model

                  suggests the following algorithm to fit (1)




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