Statistical agencies frequently release frequency tables derived from microdata, but small frequency cells may lead to disclosure risks. We present \texttt{iLBA}, an open-source \textsf{R} package for confidential dissemination of aggregated frequency tables. The package implements the Information-Loss-Bounded Aggregation (iLBA) algorithm, which combines Small Cell Adjustment (SCA) at the finest level table with an aggregation procedure that introduces controlled ambiguity while bounding information loss. The software enables users to construct masked finest level tables, generate confidential aggregated tables for selected variables, and obtain masked frequencies for single-cell queries. By providing an accessible implementation of the iLBA method, the package facilitates reproducible and efficient disclosure control for tabular data derived from microdata.

翻译：统计机构经常发布从微观数据中提取的频数表，但小频数单元格可能导致披露风险。我们介绍\texttt{iLBA}这一用于保密发布聚合频数表的开源\textsf{R}包。该包实现了信息损失有界聚合（iLBA）算法，该算法将最细粒度表的小单元格调整（SCA）与引入受控模糊性同时限制信息损失的聚合过程相结合。该软件使用户能够构建经过掩码处理的最细粒度表、为选定变量生成保密聚合频数表，并获取单单元格查询的掩码频数。通过提供iLBA方法的易用实现，该包促进了源自微观数据的表格数据的可重复且高效的披露控制。