The function returns information about the implemented loss function used by the
optimization procedure in the
A list of class
availableLF with the components:
Table with loss functions and codes to be used in
Table with details about the abbreviation used.
Marius D. Pascariu
Loss functions available in the package: LOSS FUNCTION CODE L = -[Dx * log(mu) - mu*Ex] poissonL L = -[Dx * log(1 - exp(-mu)) - (Ex - Dx)*mu] binomialL L = [1 - mu/ov]^2 LF1 L = log[mu/ov]^2 LF2 L = [(ov - mu)^2]/ov LF3 L = [ov - mu]^2 LF4 L = [ov - mu] * log[ov/mu] LF5 L = abs(ov - mu) LF6 LEGEND: Dx: Death counts Ex: Population exposed to risk mu: Estimated value ov: Observed value HINT: Most of the functions work well with 'poissonL', however for complex mortality laws like Heligman-Pollard (HP) one can obtain a better fit using other loss functions (e.g. 'LF2'). You are strongly encouraged to test different option before deciding on the final version. The results might be slightly different.
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