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MBNMAtime  

Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models
View on CRAN: Click here


Download and install MBNMAtime package within the R console
Install from CRAN:
install.packages("MBNMAtime")

Install from Github:
library("remotes")
install_github("cran/MBNMAtime")

Install by package version:
library("remotes")
install_version("MBNMAtime", "0.2.6")



Attach the package and use:
library("MBNMAtime")
Maintained by
Hugo Pedder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-28
Latest Update: 2025-01-29
Description:
Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions, following the method of Pedder et al. (2019) . The method allows synthesis of studies with multiple follow-up measurements that can account for time-course for a single or multiple treatment comparisons. Several general time-course functions are provided; others may be added by the user. Various characteristics can be flexibly added to the models, such as correlation between time points and 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.
How to cite:
Hugo Pedder (2019). MBNMAtime: Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models. R package version 0.2.6, https://cran.r-project.org/web/packages/MBNMAtime. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.2 (2019-10-28 14:40), 0.1.3 (2020-03-04 16:50), 0.2.0 (2021-04-26 15:10), 0.2.1 (2021-09-13 17:10), 0.2.3 (2023-03-17 13:30), 0.2.4 (2023-10-14 17:20)
Other packages that cited MBNMAtime R package
View MBNMAtime citation profile
Other R packages that MBNMAtime depends, imports, suggests or enhances
Complete documentation for MBNMAtime
Functions, R codes and Examples using the MBNMAtime R package
Some associated functions: MBNMAtime-package . add_index . alog_pcfb . copd . cumrank . devplot . fitplot . gen.parameters.to.save . genmaxcols . genspline . get.earliest.time . get.latest.time . get.model.vals . get.prior . get.relative . getjagsdata . getnmadata . goutSUA_CFB . goutSUA_CFBcomb . inconsistency.loops . mb.comparisons . mb.make.contrast . mb.network . mb.nodesplit.comparisons . mb.nodesplit . mb.run . mb.update . mb.validate.data . mb.write . nma.run . obesityBW_CFB . osteopain . pDcalc . plot.mb.predict . plot.mb.rank . plot.mbnma . predict.mbnma . print.mb.network . print.mb.predict . print.mb.rank . print.nodesplit . print.relative.array . radian.rescale . rank.mb.predict . rank.mbnma . rank . rankauc . ref.comparisons . ref.synth . ref.validate . remove.loops . replace.prior . summary.mb.network . summary.mb.predict . summary.mbnma . summary.nodesplit . temax . texp . tfpoly . timeplot . tloglin . tpoly . tspline . tuser . write.beta . write.check . write.cor . write.likelihood . write.model . write.ref.synth . write.timecourse . 
Some associated R codes: MBNMAtime.R . datasets.R . globals.R . mb.network-class.R . mb.predict-class.R . mb.rank-class.R . mbnma-class.R . nodesplit-class.R . nodesplit.functions.R . plot.functions.R . predict.functions.R . prepare.functions.R . print.sum.functions.R . rank.functions.R . relative.array-class.R . run.functions.R . time.functions.R . write.jags.R .  Full MBNMAtime package functions and examples
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