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functions.jl
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functions.jl
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# define Briere struct
struct BriereModel{A, B, TMN, TMX} <: RateModel
a::A
b::B
T_min::TMN
T_max::TMX
end
@inline function rate(m::BriereModel, x)
(x < m.T_min) |( x > m.T_max) ? zero(x) :
@fastmath m.a * x * (x - m.T_min) * (m.T_max - x)^(1 / m.b)
end
struct LinearModel{A, B} <: RateModel
a::A
b::B
end
@inline function rate(m::LinearModel, x)
y = @fastmath m.a + m.b * x
y < 0 ? 0 : y
end
struct DegreeDayModel{LC, DD} <: RateModel
lc::LC
dd::DD
end
@inline function rate(m::DegreeDayModel, x)
x = x < m.lc ? m.lc : x
d = @fastmath x - m.lc
d/m.dd
end
struct MultiRate{T<:Tuple} <: RateModel
models::T
end
@inline GrowthMaps.rate(m::MultiRate, x) = SVector(map(m -> rate(m, x), m.models))
# Hazard models
struct HazModel{A, B, C, D, E} <: RateModel
a::A
b::B
c::C
d::D
e::E
end
@inline function rate(m::HazModel, t)
exposure = 1 # units 1 day
# t = t < 5 ? 5 : t
# t = t > 40 ? 40 : t
exp(m.a + m.b*t + m.c*t^2 + m.d*t^3 + m.e*t^4 + log(exposure))
end
struct EggHazModel{A, B, C, D} <: RateModel
a::A
b::B
c::C
d::D
end
@inline function rate(m::EggHazModel, t)
exposure = 1 # units 1 day
# h = t < -5 ? exp(m.a + m.b*t + log(exposure)) : 0
# t > 12 ? exp(m.c + m.d*t + log(exposure)) : h
h = t < -5 ? exp(m.a + m.b*t + log(exposure)) : exp(m.c + m.d*t + log(exposure))
h > 0 ? h : 0
end