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
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
NeedsCompilation: no
Packaged: 2026-03-24 19:14:24 UTC; AnupamaSingh
Author: Anupama Singh [aut, cre]
Maintainer: Anupama Singh <anupama.singh@pharmacoevidence.com>
Repository: CRAN
Date/Publication: 2026-03-29 15:50:15 UTC
Built: R 4.6.0; ; 2026-04-28 02:24:07 UTC; unix
