Package: MBNMAdose 0.4.3
MBNMAdose: Dose-Response MBNMA Models
Fits Bayesian dose-response model-based network meta-analysis (MBNMA) that incorporate multiple doses within an agent by modelling different dose-response functions, as described by Mawdsley et al. (2016) <doi:10.1002/psp4.12091>. By modelling dose-response relationships this can connect networks of evidence that might otherwise be disconnected, and can improve precision on treatment estimates. Several common dose-response functions are provided; others may be added by the user. Various characteristics and assumptions can be flexibly added to the models, such as shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting at the treatment level.
Authors:
MBNMAdose_0.4.3.tar.gz
MBNMAdose_0.4.3.tar.gz(r-4.5-noble)MBNMAdose_0.4.3.tar.gz(r-4.4-noble)
MBNMAdose_0.4.3.tgz(r-4.4-emscripten)MBNMAdose_0.4.3.tgz(r-4.3-emscripten)
MBNMAdose.pdf |MBNMAdose.html✨
MBNMAdose/json (API)
NEWS
# Install 'MBNMAdose' in R: |
install.packages('MBNMAdose', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hugaped/mbnmadose/issues
Pkgdown:https://hugaped.github.io
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Last updated 8 months agofrom:1688e04e78. Checks:ERROR: 1 OK: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Nov 15 2024 |
R-4.5-linux | OK | Nov 15 2024 |
Exports:%>%calc.edxcumrankdefault.priorsdemaxdevdevdevplotdexpdfpolyditpdloglindmultidnonparamdpolydrop.disconnecteddsplineduserfitplotgensplineget.priorget.relativegetjagsdatainconsistency.loopsmbnma.comparisonsmbnma.networkmbnma.nodesplitmbnma.runmbnma.updatembnma.writenma.nodesplitnma.runnorm2lnormpDcalcrankref.synthrescale.link
Dependencies:abindbackportsbootcheckmateclicodacolorspacecpp11dplyrfansifarvergenericsglueigraphlabelinglatticelifecyclemagrittrMatrixmunsellpillarpkgconfigplyrR2jagsR2WinBUGSR6rbibutilsRColorBrewerRcppRdpackreshape2rjagsrlangscalesstringistringrtibbletidyselectutf8vctrsviridisLitewithr
Class effect NMA analysis using MBNMAdose
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usingknitr::rmarkdown
on Nov 15 2024.Last update: 2024-04-19
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MBNMAdose outputs: Relative effects, forest plots and rankings
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on Nov 15 2024.Last update: 2023-08-08
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MBNMAdose: Calculating model predictions
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MBNMAdose: Checking for consistency
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MBNMAdose: Exploring the data
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MBNMAdose: Package Overview
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usingknitr::rmarkdown
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MBNMAdose: Perform a Model-Based Network Meta-Analysis (MBNMA)
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usingknitr::rmarkdown
on Nov 15 2024.Last update: 2023-08-08
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MBNMAdose: Perform Network Meta-Regression
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usingknitr::rmarkdown
on Nov 15 2024.Last update: 2023-08-08
Started: 2023-08-08