boots_g: Coefficient Estimates across Bootstrapped Samples

In mattblackwell/DirectEffects: Estimating Controlled Direct Effects for Explaining Causal Findings

Coefficient Estimates across Bootstrapped Samples

Description

Performs a simple bootstrap of a fitted DirectEffects model by re-estimating the model with bootstrap samples.

Usage

boots_g(seqg, boots = 1000)

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)

mattblackwell/DirectEffects documentation built on Dec. 16, 2024, 6:14 p.m.