nonprobsvy v0.2.0 - roadmap

[LukaszChrostowski]

Issues to add/consider for the next version of the package:

• add propensity score adjustment using xgboost model.
• add svrep (bootstrap weighting) to the functionality of the package.
• add div to variable selection models (seperate variable selection for ipw and mi model)
• variance for DR and MI estimator (when NN method for mass imputation)
• method to estimate mean/median/totals in subsets/groups (called on the nonprobsvy object).
• add calibration for quantiles (see calibration for quantiles #36).
• add empirical likelihood for ipw estimation (see Empirical likelihood #20).
• improve variable selection for pop_totals.
• add estimation methods for overlapping samples (see https://academic.oup.com/jssam/article/11/5/1181/6960643).
• variables randomization when selection algorithm
• fix the following display in summary when variable selection