Staggered Regression Discontinuity with Network Interference // Implements a unified framework combining staggered difference- in-differences with regression discontinuity designs and network interference. Extends Callaway and Sant'Anna (2021) doi:10.1016/j.jeconom.2020.12.001 to settings where treatment assignment is determined by a running variable crossing a cutoff, adoption timing is heterogeneous across units, and spillover effects operate through a known network structure. Provides group-time average treatment effects (direct and spillover), aggregation schemes, bandwidth selection, and pre- treatment falsification tests.