Changes in version 0.1.0 (2026-03-29)                  

Initial release

New features

  - compute_weights(): Entropy balancing / exponential tilting for MAIC
    weight estimation, with support for mean-only and mean+SD matching.
    Returns ESS, convergence diagnostics, and pre/post SMDs.

  - dr_maic(): Doubly robust MAIC estimator combining IPW (standard
    MAIC) with outcome regression (STC / g-computation). Supports
    binary, continuous, and time-to-event outcomes. Effect measures: RD,
    RR, OR, HR, MD.

  - maic_diagnostics(): Love plot, weight distribution plot, covariate
    balance table, and ESS summary. All plots are ggplot2 objects.

  - check_assumptions(): Structured assumption checklist aligned with
    NICE DSU TSD 18 and Cochrane Handbook Chapter 23. Checks ESS
    adequacy, covariate balance, optimiser convergence, and DR
    augmentation term.

  - bootstrap_ci(): Non-parametric bootstrap confidence intervals (BCa,
    percentile, normal) for all three estimators (MAIC, STC, DR-MAIC).
    Full bootstrap distribution plot included.

  - sensitivity_analysis(): E-value computation (VanderWeele &
    Ding, 2017), weight trimming sensitivity analysis, and
    leave-one-variable-out (LOVO) analysis. All results include ggplot2
    visualisations.

  - nice_report(): Structured submission-ready report covering
    population characteristics, weight estimation, covariate balance
    (NICE TSD 18 format), treatment effect estimates, uncertainty
    quantification, sensitivity analysis, assumptions/limitations, and a
    citable methods paragraph.

Example data

  - nsclc_ipd: Simulated individual patient data (n = 200) from a
    hypothetical single-arm immunotherapy trial in advanced NSCLC.
  - nsclc_agd: Simulated aggregate data from a hypothetical comparator
    trial.

Guideline alignment

  - NICE DSU Technical Support Document 18 (Phillippo et
    al., 2016; 2020)
  - Cochrane Handbook Chapter 23 (Dias et al.)
  - ISPOR Task Force on Indirect Treatment Comparisons
  - Remiro-Azócar et al. (2022) Statistics in Medicine