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:
MAICtools_0.1.1.tar.gz
MAICtools_0.1.1.tar.gz(r-4.7-any)MAICtools_0.1.1.tar.gz(r-4.6-any)
MAICtools_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MAICtools/json (API)
| # Install 'MAICtools' in R: |
| install.packages('MAICtools', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9e4971737b. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 214 | ||
| source / vignettes | OK | 433 | ||
| linux-release-x86_64 | OK | 188 | ||
| wasm-release | OK | 157 |
Exports:anchored_maiccheck_matchingcheck_matching2widerestimate_essestimate_weightshist_weightssummarize_weightsunanchored_kmplotunanchored_maicunanchored_maic_bootstrap
Dependencies:abindassertthatbackportsbbotkbootbroomcarcarDatacheckmateclassclicodetoolscolorspacecommonmarkcorrplotcowplotcpp11curldata.tableDEoptimRDerivdigestdoBydplyre1071evaluateexactRankTestsfarverforecastFormulafracdifffuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifggtextglobalsgluegridExtragridtextgtableisobandjpegjsonlitelabelinglaekenlatticelgrlifecyclelistenvlitedownlme4lmtestmagrittrmarkdownMASSMatrixMatrixModelsmatrixStatsmaxstatmgcvmicrobenchmarkminqamiraimlbenchmlr3mlr3learnersmlr3measuresmlr3miscmlr3pipelinesmlr3tuningmodelrmoocoremvtnormnanonextnlmenloptrnnetnumDerivpalmerpenguinsparadoxparallellypbkrtestpillarpkgconfigpngpolynomproxyPRROCpurrrquantregR6rangerrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrobustbaserstatixS7scalesspSparseMstringistringrsurvivalsurvminertibbletidyrtidyselecttimeDateurcautf8uuidvcdvctrsVIMviridisLitewithrxfunxgboostxml2zoo