Simulate EI Solution via Importance Sampling

Simulate EI Solution via Importance Sampling

Usage

ei.sim(ei.object, ndraws = 99, nsims = 100)

Arguments

ei.object

ei object

ndraws

integer. The number of draws. Default is 99.

nsims

integer. The number of simulations within each draw. Default is 100.

Value

`ei.sim` object

References

Gary King (1997). A Solution to the Ecological Inference Problem. Princeton: Princeton University Press.

Author

Gary King <<email: king@harvard.edu>> and Molly Roberts <<email: molly.e.roberts@gmail.com>>

Examples

data(sample_ei)
form <- t ~ x
ei_obj <- ei(form, total = "n", data = sample_ei, simulate = FALSE)
#> ℹ Running 2x2 ei
#> ℹ Maximizing likelihood for `erho` = 0.5.
#> ℹ Running 2x2 ei

#> ℹ Maximizing likelihood for `erho` = 3.
#> ℹ Running 2x2 ei

#> ℹ Maximizing likelihood for `erho` = 5.
#> ℹ Running 2x2 ei

#> ℹ Maximizing likelihood for `erho` = 0.1.
#> ℹ Running 2x2 ei

#> ✔ Running 2x2 ei [2ms]
#> 
sims <- ei.sim(ei_obj)
#> ⠙ Beginning importance sampling.
#> ✔ Beginning importance sampling. [1.2s]
#>