idaps 0.1.0

• First release. Implements the idaps() (distance-adjusted propensity score with interference) and recoverUplus() (doubly robust with recovered spatial confounder and neighbourhood exposure) estimators, together with the naive_ps(), daps() and recoverU() comparators.
• simulate_spatial_causal() generates data with joint spatial confounding and interference; spatial_ate() runs all estimators and collects the results.
• The recovered-confounder step uses a self-contained Matérn maximum-likelihood fit by default (matern_method = "mle"), with an optional geoR engine for faithful reproduction of the report.