Tidy helper function for rdrobust function

A generics::tidy() method for fits from rdrobust::rdrobust(), so they can be used in declare_estimator(). Use rdrobust_helper() to fit the model.

Usage

# S3 method for class 'rdrobust'
tidy(x, ...)

Arguments

x

A fit from rdrobust::rdrobust().

...

Not used.

Value

A data frame with one row per estimate rdrobust reports (conventional, bias-corrected, and robust) and columns term, estimate, std.error, statistic, p.value, conf.low, conf.high, and cutoff.

Details

See https://book.declaredesign.org/observational-causal.html#regression-discontinuity-designs

Examples

set.seed(343)
rd <- data.frame(X = runif(1000, min = -1, max = 1))
rd$Y <- 0.5 * (rd$X > 0) + rd$X + rnorm(1000, sd = 0.5)

fit <- rdrobust_helper(rd, y = Y, x = X, c = 0)
tidy(fit)
#>             term  estimate std.error statistic      p.value  conf.low conf.high
#> 1   Conventional 0.4394154 0.1193589  3.681462 0.0002319002 0.2054762 0.6733547
#> 2 Bias-Corrected 0.4526316 0.1193589  3.792188 0.0001493258 0.2186923 0.6865708
#> 3         Robust 0.4526316 0.1458573  3.103249 0.0019140878 0.1667564 0.7385067