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 site:https://hugaped.github.io
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Last updated 9 months agofrom:1688e04e78. Checks:ERROR: 1 OK: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Dec 15 2024 |
R-4.5-linux | OK | Dec 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
Rendered fromnma_in_mbnmadose.Rmd
usingknitr::rmarkdown
on Dec 15 2024.Last update: 2024-04-19
Started: 2023-08-08
MBNMAdose outputs: Relative effects, forest plots and rankings
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usingknitr::rmarkdown
on Dec 15 2024.Last update: 2023-08-08
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MBNMAdose: Calculating model predictions
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usingknitr::rmarkdown
on Dec 15 2024.Last update: 2023-08-08
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MBNMAdose: Checking for consistency
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on Dec 15 2024.Last update: 2023-08-08
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MBNMAdose: Exploring the data
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usingknitr::rmarkdown
on Dec 15 2024.Last update: 2023-08-08
Started: 2023-08-08
MBNMAdose: Package Overview
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usingknitr::rmarkdown
on Dec 15 2024.Last update: 2023-08-08
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MBNMAdose: Perform a Model-Based Network Meta-Analysis (MBNMA)
Rendered fromrunmbnmadose-2.Rmd
usingknitr::rmarkdown
on Dec 15 2024.Last update: 2023-08-08
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MBNMAdose: Perform Network Meta-Regression
Rendered frommetaregression-6.Rmd
usingknitr::rmarkdown
on Dec 15 2024.Last update: 2023-08-08
Started: 2023-08-08