Performs a simple bootstrap of a fitted DirectEffects model by re-estimating the model with bootstrap samples.
Arguments
- seqg
A fitted sequential_g estimate, computed by
sequential_g.- boots
The number of bootstrap replicates. Defaults to 1000.
Value
An object of type seqgboots which is a matrix with boots
rows and columns for each coefficient in the seqg model. Use summary
to provide summary statistics, such as mean and quantiles.
Examples
data(ploughs)
s1 <- sequential_g(women_politics ~ plow +
agricultural_suitability + tropical_climate + large_animals + rugged |
years_civil_conflict + years_interstate_conflict + oil_pc +
european_descent + communist_dummy + polity2_2000 |
centered_ln_inc + centered_ln_incsq, ploughs)
out.boots <- boots_g(s1, boots = 100)
summary(out.boots)
#>
#> Summary of bootstrapped coefficients:
#>
#> Estimate Std. Err. t value 2.5 % 97.5 %
#> (Intercept) 14.02959 4.70395 2.98251 5.02279 23.1829
#> plow -4.04895 1.88171 -2.15174 -7.64853 -0.6127
#> agricultural_suitability 4.32654 2.23892 1.93243 -0.28430 8.7664
#> tropical_climate -2.87187 2.50310 -1.14732 -8.73663 1.3647
#> large_animals -1.88143 4.26803 -0.44082 -9.83607 7.0296
#> rugged -0.33396 0.48342 -0.69083 -1.19738 0.6599
#>