regrake - Regularized Survey Raking
Calibrates survey weights to known population targets
using regularized raking. Constraints are specified with a
formula interface (for example, rr_exact(), rr_l2(),
rr_range(), rr_mean(), rr_var(), and rr_quantile()). Supports
common target formats including autumn-style proportions
tables, raw or weighted population microdata, named-list
targets (as in 'anesrake'), and 'survey' package design
objects. Optimization follows Barratt et al. (2021)
<https://web.stanford.edu/~boyd/papers/pdf/optimal_representative_sampling.pdf>
and returns calibrated weights with balance and convergence
diagnostics.
