Changes in version 0.1.0 (2026-10-15)                  

Initial CRAN release.

Features

  - localAteDS() aggregate function computes the local ATE estimate and,
    optionally, the variance statistics (arm-specific residual sums of
    squares and within-server projected scatter) needed for the
    delta-method variance. Set compute_variance = FALSE to limit
    disclosure to the three scalars strictly needed for the point
    estimate (n_k, n_k_1, tau_k). The heterogeneous argument (default
    TRUE) additionally returns covariate column sums, allowing the
    client to assemble the global covariate mean for the
    leverage-corrected variance estimator.

  - addStudyIdDS() assign function appends K-1 integer study-dummy
    columns to a server-side data frame, supporting the adjusted
    generalised difference estimator when study membership directly
    shifts the outcome.

  - All functions enforce DataSHIELD disclosure controls: privacy
    control level is checked via
    dsBase::checkPermissivePrivacyControlLevel() and minimum subset size
    is validated against nfilter.subset from
    dsBase::listDisclosureSettingsDS().