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MBNMAdose
View on CRAN: Click
here
Download and install MBNMAdose package within the R console
Install from CRAN:
install.packages("MBNMAdose")
Install from Github:
library("remotes")
install_github("cran/MBNMAdose") Install by package version:
library("remotes")
install_version("MBNMAdose", "0.5.0") Attach the package and use:
library("MBNMAdose")
Maintained by
Hugo Pedder
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-23
Latest Update: 2025-02-07
Description:
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) .
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.
How to cite:
Hugo Pedder (2019). MBNMAdose: Dose-Response MBNMA Models. R package version 0.5.0, https://cran.r-project.org/web/packages/MBNMAdose. Accessed 26 Aug. 2026.
Previous versions and publish date:
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Other R packages that MBNMAdose depends,
imports, suggests or enhances
Complete documentation for MBNMAdose
Functions, R codes and Examples using
the MBNMAdose R package
Some associated functions: DR.comparisons . MBNMAdose-package . add_index . alog_pcfb . changepd . check.network . cumrank . demax . devdev . devplot . dexp . dfpoly . dloglin . dmulti . dnonparam . dpoly . drop.comp . drop.disconnected . dspline . duser . fitplot . gen.parameters.to.save . genspline . get.prior . get.relative . getjagsdata . gout . inconsistency.loops . mbnma.comparisons . mbnma.emax.hill . mbnma.emax . mbnma.exponential . mbnma.linear . mbnma.network . mbnma.nodesplit . mbnma.run . mbnma.update . mbnma.validate.data . mbnma.write . nma.nodesplit . nma.run . osteopain . pDcalc . pipe . plot.mbnma . plot.mbnma.predict . plot.mbnma.rank . predict.mbnma . print.mbnma.network . print.mbnma.predict . print.mbnma.rank . print.nma.nodesplit . print.nodesplit . print.relative.array . psoriasis100 . psoriasis75 . psoriasis90 . rank.mbnma . rank.mbnma.predict . rank . rank.relative.array . recode.agent . ref.synth . rescale.link . ssri . summary.mbnma.network . summary.mbnma . summary.mbnma.predict . summary.mbnma.rank . summary.nma.nodesplit . summary.nodesplit . triptans .
Some associated R codes: MBNMAdose.R . datasets.R . dose.functions.R . globals.R . inconsistency.functions.R . mbnma-class.R . mbnma.network-class.R . mbnma.predict-class.R . mbnma.rank-class.R . nma-class.R . nma.nodesplit-class.R . nodesplit-class.R . plot.functions.R . predict.functions.R . prepare.functions.R . print.functions.R . rank.functions.R . relative.array-class.R . run.functions.R . utils-pipe.R . write.functions.R . write.jags.R . Full MBNMAdose package functions and examples
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