Build a per-replicate refit function for an estimated visibility rule

For a rule with is_estimated = TRUE, the estimated group size moves with the bootstrap replicate. This returns the refit closure get_boot_ests_matrix() expects: given a replicate index, it refits the rule using that replicate's weights and returns the group size S.hat for each row of ec.dat.

Usage

make_vis_refit(rule, donor.dat, boot.weights, ec.dat, ego.id = ".ego.id")

Arguments

rule

the visibility_rule

donor.dat

the donor frame

boot.weights

data frame of bootstrap weights, with an ego id column and columns boot_weight_1 ... boot_weight_M

ec.dat

the ego X cell data the estimate is computed from

ego.id

name of the ego id column

Value

function(r) returning a numeric vector, one S.hat per row of ec.dat, or NULL if the rule does not estimate from the sample

Details

Predicting with the frame indicator set to zero returns S.hat itself, since a rule's visibility for an off-frame alter is the group size.