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MBNMAdose  

Dose-Response MBNMA Models
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", "0.4.3")



Attach the package and use:
library("MBNMAdose")
Maintained by
Hugo Pedder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-23
Latest Update: 2023-08-08
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 0.4.3, https://cran.r-project.org/web/packages/MBNMAdose. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.2.2 (2019-07-23 12:20), 0.2.3 (2019-07-25 17:20), 0.2.4 (2019-10-08 16:30), 0.2.6 (2020-02-15 19:20), 0.2.7 (2020-03-02 18:00), 0.3.0 (2020-09-10 18:40), 0.4.1 (2022-02-24 12:40), 0.4.2 (2023-08-08 15:00), 0.4.3 (2024-04-18 14:42)
Other packages that cited MBNMAdose R package
View MBNMAdose citation profile
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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