Summarize Ecological Inference Estimates

summary' method for the class ei'.

Usage

# S3 method for class 'ei'
summary(object, ...)

Arguments

object

An ei object from the function ei.

...

A list of options to return in graphs. See values below.

Value

formatted summary 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)
formula <- t ~ x
dbuf <- ei(formula = formula, total = "n", data = sample_ei)
#> ℹ Running 2x2 ei
#> ℹ Maximizing likelihood for `erho` = 0.5.
#> ℹ Running 2x2 ei

#> ✔ Running 2x2 ei [1ms]
#> 
#> ⠙ Beginning importance sampling.
#> ✔ Beginning importance sampling. [80ms]
#> 
summary(dbuf)
#> 
#> ── Summary ─────────────────────────────────────────────────────────────────────
#> 
#> ── Erho ──
#> 
#> 0.5
#> 
#> 
#> ── Esigma ──
#> 
#> 0.5
#> 
#> 
#> ── Ebeta ──
#> 
#> 0.5
#> 
#> 
#> ── N ──
#> 
#> 75
#> 
#> 
#> ── Resamp ──
#> 
#> 22
#> 
#> 
#> ── Maximum likelihood results in scale of estimation (and se's) ──
#> 
#>         Bb0       Bw0       sigB       sigW       rho Zb0 Zw0
#>  -1.1533845 0.8214511 -2.2860120 -1.8816353 0.4128456   0   0
#>   0.1010396 0.1017911  0.2489234  0.1575911 0.3654937   0   0
#> 
#> 
#> ── Untruncated psi's ──
#> 
#>        BB        BW        SB        SW       RHO
#>  0.198537 0.7276286 0.1045091 0.1552543 0.3733942
#> 
#> 
#> ── Truncated psi's (ultimate scale) ──
#> 
#>         BB      BW         SB        SW       RHO
#>  0.2042261 0.71488 0.09799781 0.1411995 0.3158756
#> 
#> 
#> ── Aggregate Bounds ──
#> 
#>            betab     betaw
#> lower 0.09549504 0.3979843
#> upper 0.60893461 0.8031228
#> 
#> 
#> ── Estimates of Aggregate Quantities of Interest ──
#> 
#>         mean          sd
#> Bb 0.2035611 0.012311631
#> Bw 0.7178513 0.009714708
#> 
#> 
#> ── Precision ──
#> 
#> 4
#>