Construct and Audit Longitudinal Decision Paths // Tools for constructing and auditing longitudinal decision paths from panel data. Implements a decision infrastructure framework for representing institutional AI systems as generators of time- ordered binary decision sequences. Provides functions to build path objects from panel data, summarise per-unit descriptors (dosage, switching rate, onset, duration, longest run), compute the Decision Reliability Index (DRI) following Cronbach (1951) doi:10.1007/BF02310555, estimate Shannon decision-path entropy following Shannon (1948) doi:10.1002/j.1538-7305.1948.tb01338.x, classify systems by infrastructure type (static, periodic, continuous, human-in- the-loop), and evaluate subgroup disparities in decision exposure and stability. Applications include education, policy, health, and organisational research.