Package: MAICtools 0.1.1

Xiao Qi

MAICtools: Performing Matched-Adjusted Indirect Comparisons (MAIC)

A generalised workflow for Matching-Adjusted Indirect Comparison (MAIC) analysis, which supports both anchored and non-anchored MAIC methods. In MAIC, unbiased trial outcome comparison is achieved by weighting the subject-level outcomes of the intervention trial so that the weighted aggregate measures of prognostic or effect-modifying variables match those of the comparator trial. Measurements supported include time-to-event (e.g., overall survival) and binary (e.g., objective tumor response). The method is described in Signorovitch et al. (2010) <doi:10.2165/11538370-000000000-00000> and Signorovitch et al. (2012) <doi:10.1016/j.jval.2012.05.004>.

Authors:Xiao Qi [aut, cre]

MAICtools_0.1.1.tar.gz
MAICtools_0.1.1.tar.gz(r-4.5-noble)MAICtools_0.1.1.tar.gz(r-4.4-noble)
MAICtools_0.1.1.tgz(r-4.4-emscripten)MAICtools_0.1.1.tgz(r-4.3-emscripten)
MAICtools.pdf |MAICtools.html✨
MAICtools/json (API)

# Install 'MAICtools' in R:
install.packages('MAICtools', repos = 'https://cloud.r-project.org')
Datasets:
  • AgD_bl - Description of AgD_bl dataset
  • AgD_eff - Description of AgD_eff dataset
  • IPD - Description of IPD dataset
  • pseudo - Description of pseudo dataset
  • pts - Description of pts dataset
  • unpts - Description of unpts dataset

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 219 downloads 10 exports 106 dependencies

Last updated 4 months agofrom:9e4971737b. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-linuxOKMar 11 2025

Exports:anchored_maiccheck_matchingcheck_matching2widerestimate_essestimate_weightshist_weightssummarize_weightsunanchored_kmplotunanchored_maicunanchored_maic_bootstrap

Dependencies:abindassertthatbackportsbootbroomcarcarDataclassclicolorspacecommonmarkcorrplotcowplotcpp11curldata.tableDEoptimRDerivdoBydplyre1071evaluateexactRankTestsfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifggtextgluegridExtragridtextgtablehighrisobandjpegkm.ciKMsurvknitrlabelinglaekenlatticelifecyclelme4lmtestmagrittrmarkdownMASSMatrixMatrixModelsmaxstatmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpngpolynomproxypurrrquantregR6rangerrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrobustbaserstatixscalesspSparseMstringistringrsurvivalsurvminersurvMisctibbletidyrtidyselectutf8vcdvctrsVIMviridisLitewithrxfunxml2xtableyamlzoo

Citation

To cite package ‘MAICtools’ in publications use:

Qi X (2024). MAICtools: Performing Matched-Adjusted Indirect Comparisons (MAIC). R package version 0.1.1, https://CRAN.R-project.org/package=MAICtools.

Corresponding BibTeX entry: 

  @Manual{,
    title = {MAICtools: Performing Matched-Adjusted Indirect
      Comparisons (MAIC)},
    author = {Xiao Qi},
    year = {2024},
    note = {R package version 0.1.1},
    url = {https://CRAN.R-project.org/package=MAICtools},
  }