fit_migramod: Estimate a migramod model via linear optimization
In elflacosebas/migraR: Rogers and Castro Migration Models Schedule's Optimizer

Description Usage Arguments Value Examples

View source: R/fit_migramod.R

Estimate a migramod model via linear optimization

1	fit_migramod (dataIn, parameters_0, model.rc)

`dataIn`	Empirical (out/in) migration rates for estimation.
`parameters_0`	Set of initial parameters for selected Rogers and Castro model equation.
`model.rc`	Object of class migramod with usually a Rogers and Castro model expression.

A list of values calculated in the minimization as OptimResult, R squared or MAPE.

## Not run: 
param0 <- genRandomPar(profile='seven')
name = 'Parametric_model',
expr = rc_expression(profile = 'seven') ,
dataIn = dataIn
)
fit_migramod(dataIn, param0, model.rc)

## End(Not run)