objective_fun: Function to be Optimize

In MortalityLaws: Parametric Mortality Models, Life Tables and HMD

Function to be Optimize

Description

Function to be Optimize

Usage

objective_fun(par, x, Dx, Ex, mx, qx, law, opt.method, custom.law)

Arguments

x	Vector of ages at the beginning of the age interval.
Dx	Object containing death counts. An element of the Dx object represents the number of deaths during the year to persons aged x to x+n.
Ex	Exposure in the period. Ex can be approximated by the mid-year population aged x to x+n.
mx	Life table death rate in age interval [x, x+n).
qx	Probability of dying in age interval [x, x+n).
law	The name of the mortality law/model to be used. e.g. gompertz, makeham, ... To investigate all the possible options, see availableLaws function.
opt.method	How would you like to find the parameters? Specify the function to be optimize. Available options: the Poisson likelihood function poissonL; the Binomial likelihood function -binomialL; and 6 other loss functions. For more details, check the availableLF function.
custom.law	Allows you to fit a model that is not defined in the package. Accepts as input a function.

Value

The optimal value

MortalityLaws documentation built on Aug. 8, 2023, 5:10 p.m.