Fraction of missing information for a column mean — proxy_fmi • proxymix

The share of a column mean's total variance attributable to the missing data, read from proxy_pool().

Usage

proxy_fmi(object, column, method = c("analytic", "rubin"))

Arguments

object: A gmm_imputation.
column: Name of a single numeric column whose mean is pooled.
method: "analytic" (the default) for the closed-form pooling, or "rubin" for Rubin's rules over the drawn completions.

Value

A named numeric scalar.

See also

proxy_pool().

Other imputation: as_mids(), gmm_complete(), gmm_imputation(), gmm_impute(), mechanism, proxy_mnar_sensitivity(), proxy_pool()

Examples

set.seed(1)
x1 <- rnorm(150); x2 <- x1 + rnorm(150); x2[runif(150) < 0.3] <- NA
imp <- gmm_impute(cbind(x1, x2), N = 1L, m = 10L, seed = 1L)
proxy_fmi(imp, "x2")
#>        x2 
#> 0.1765858