Extract estimates, standard errors, and margins of error

Getter functions for estimate() vectors.

The posterior::rvar class may be useful in handling standard errors for more complicated mathematical expressions. This function assumes a Normal distribution centered on the estimate, with standard deviation equal to the standard error of the estimate. The posterior package is required for this function.

Usage

get_est(x)

get_se(x)

get_moe(x, conf = 0.9)

to_rvar(x, n = 500)

Arguments

x: An estimate vector.
conf: The confidence level to use in constructing the margin of error.
n: How many samples to draw.

Value

An estimate vector.

A posterior::rvar vector.

Examples

x = estimate(1, 0.1)
get_est(x)
#> [1] 1
get_moe(x)
#> [1] 0.1644854

x = estimate(1, 0.1)
if (requireNamespace("posterior", quietly=TRUE)) {
    rv_x = to_rvar(x)
    (rv_x^2 / rv_x) - rv_x # std. errors zero (correct)
    x^2 / x - x # std. errors not zero
}
#> <estimate[1]>
#> [1] 0 ± 0.4