Package: drMAIC
Language: en-GB
Title: Doubly Robust Matching-Adjusted Indirect Comparison for HTA
Version: 0.1.0
Authors@R: 
    person("Anupama","Singh", email = "anupama.singh@pharmacoevidence.com", 
           role = c("aut", "cre"))
Description: Implements Doubly Robust Matching-Adjusted Indirect
        Comparison (DR-MAIC) for population-adjusted indirect treatment
        comparisons in health technology appraisal (HTA). The package
        provides: (1) standard MAIC via entropy balancing / exponential
        tilting; (2) augmented/doubly robust MAIC combining inverse
        probability weighting with outcome regression; (3)
        comprehensive covariate balance diagnostics including
        standardised mean differences, Love plots, and effective sample
        size; (4) sensitivity analyses including E-values, weight
        trimming, and variable exclusion analyses; (5) bootstrap
        confidence intervals; and (6) submission-ready outputs aligned
        with NICE Decision Support Unit Technical Support Document 18,
        Cochrane Handbook guidance on indirect comparisons, and ISPOR
        best practice guidelines. Supports binary (risk difference,
        risk ratio, odds ratio) and time-to-event (hazard ratio)
        outcomes.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.0.0)
Imports: stats, survival, boot, ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
LazyData: true
URL: https://github.com/Anupama-Singh01/drMAIC
BugReports: https://github.com/Anupama-Singh01/drMAIC/issues
Repository: https://heorlytics.r-universe.dev
Date/Publication: 2026-03-24 18:30:29 UTC
RemoteUrl: https://github.com/heorlytics/drmaic
RemoteRef: HEAD
RemoteSha: f7e4debea1cdb57098c4afbb3fa77a718055848b
NeedsCompilation: no
Packaged: 2026-07-03 20:33:48 UTC; root
Author: Anupama Singh [aut, cre]
Maintainer: Anupama Singh <anupama.singh@pharmacoevidence.com>