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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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